IEEE Catalog Number: ISBN:

CFP10ICA-PRT 978-1-4244-4295-9

2010 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)

Dallas, Texas, USA 14-19 March 2010

Pages 1-797

1/7

TABLE OF CONTENTS

AE-L1: SOURCE SEPARATION

AE-L1.1: COOPERATIVE WIENER-ICA FOR SOURCE LOCALIZATION AND SEPARATION ................................... 1BY DISTRIBUTED MICROPHONE ARRAYSFrancesco Nesta, Fondazione Bruno Kessler - Irst and UNITN, Italy; Maurizio Omologo, Fondazione Bruno Kessler - Irst, Italy

AE-L1.2: SIMULTANEOUS CLUSTERING OF MIXING AND SPECTRAL MODEL ........................................................ 5PARAMETERS FOR BLIND SPARSE SOURCE SEPARATIONShoko Araki, Tomohiro Nakatani, Hiroshi Sawada, NTT Corporation, Japan

AE-L1.3: UNDER-DETERMINED CONVOLUTIVE BLIND SOURCE SEPARATION USING ......................................... 9SPATIAL COVARIANCE MODELSNgoc Duong, Emmanuel Vincent, Rémi Gribonval, IRISA/INRIA, France

AE-L1.4: SINGLE CHANNEL SOURCE SEPARATION BASED ON SPARSE SOURCE ................................................. 13OBSERVATION MODEL WITH HARMONIC CONSTRAINTTomohiro Nakatani, Shoko Araki, NTT Corporation, Japan

AE-L1.5: AN EXPECTATION-MAXIMIZATION METHOD FOR THE PERMUTATION .............................................. 17PROBLEM IN FREQUENCY-DOMAIN BLIND SOURCE SEPARATIONThom-Thi Ngo, Seung-Hyon Nam, Paichai University, Republic of Korea

AE-L1.6: IMPROVED SINGLE-CHANNEL SPEECH SEPARATION USING SINUSOIDAL .......................................... 21MODELINGPejman Mowlaee, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg university, Denmark

AE-L2: AUDIO ANALYSIS AND SYNTHESIS

AE-L2.1: NOISE-TO-MASK RATIO MINIMIZATION BY WEIGHTED NON-NEGATIVE ............................................ 25MATRIX FACTORIZATIONJoonas Nikunen, Tuomas Virtanen, Tampere University of Technology, Finland

AE-L2.3: FIRST-ORDER GLOBAL AM-FM DECOMPOSITION AND APPLICATION TO ........................................... 33MUSIC ANALYSIS AND TRANSFORMATIONMahdi Triki, Philips Research Laboratories, Netherlands; Dirk T.M. Slock, EURECOM, France

AE-L2.4: AN INDIVIDUALLY TUNABLE PERFECT RECONSTRUCTION FILTERBANK FOR ................................. 37BANDED WAVEGUIDE SYNTHESISAlex Fink, Harvey Thornburg, Andreas Spanias, Arizona State University, United States

AE-L2.5: MODULATION-BASED DETECTION OF SPEECH IN REAL BACKGROUND .............................................. 41NOISE: GENERALIZATION TO NOVEL BACKGROUND CLASSESJörg-Hendrik Bach, Birger Kollmeier, Jörn Anemüller, University of Oldenburg, Germany

AE-L2.6: ON-THE-FLY VIDEO GENRE CLASSIFICATION BY COMBINATION OF AUDIO ..................................... 45FEATURESMickael Rouvier, Georges Linares, Driss Matrouf, LIA, France

AE-L3: MUSIC SIGNAL PROCESSING

AE-L3.1: BLIND UPMIX OF STEREO MUSIC SIGNALS USING MULTI-STEP LINEAR .............................................. 49PREDICTION BASED REVERBERATION EXTRACTIONKeisuke Kinoshita, Tomohiro Nakatani, NTT Communication Science Laboratories, Japan; Masato Miyoshi, Kanazawa University, Japan

AE-L3.2: MUSIC DEREVERBERATION USING HARMONIC STRUCTURE SOURCE ................................................. 53MODEL AND WIENER FILTERNaoki Yasuraoka, Kyoto University, Japan; Takuya Yoshioka, Tomohiro Nakatani, Atsushi Nakamura, NTT Communication Science Laboratories, Japan; Hiroshi G. Okuno, Kyoto University, Japan

AE-L3.3: SONG-LEVEL MULTI-PITCH TRACKING BY HEAVILY CONSTRAINED ................................................... 57CLUSTERINGZhiyao Duan, Jinyu Han, Bryan Pardo, Northwestern University, United States

AE-L3.4: HIGH PRECISION FREQUENCY ESTIMATION FOR HARPSICHORD TUNING ......................................... 61CLASSIFICATIONDan Tidhar, Matthias Mauch, Simon Dixon, Queen Mary University of London, United Kingdom

AE-L3.5: COVER SONG DETECTION: FROM HIGH SCORES TO GENERAL ............................................................... 65CLASSIFICATIONSuman Ravuri, University of California, Berkeley, United States; Daniel Ellis, Columbia University, United States

AE-L3.6: MUSIC RHYTHM CHARACTERIZATION WITH APPLICATION TO ............................................................. 69WORKOUT-MIX GENERATIONQian Lin, Xiamen University, China; Lie Lu, Microsoft Research Asia, China; Christopher Weare, Microsoft Corporation, United States; Frank Seide, Microsoft Research Asia, China

AE-L4: LOUDSPEAKER AND MICROPHONE ARRAY SIGNAL PROCESSING

AE-L4.1: BAFFLED CIRCULAR LOUDSPEAKER ARRAY WITH BROADBAND HIGH ............................................... 73DIRECTIVITYMihailo Kolundzija, Christof Faller, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

AE-L4.2: DOUBLE SIDED CONE ARRAY FOR SPHERICAL HARMONIC ANALYSIS OF .......................................... 77WAVEFIELDSAastha Gupta, Thushara Abhayapala, Australian National University, Australia

AE-L4.3: EIGENANALYSIS-BASED BROADBAND SOURCE LOCALIZATION .............................................................. 81Mehrez Souden, Jacob Benesty, Sofiene Affes, INRS, Canada

AE-L4.4: ENERGY-BASED MULTI-SPEAKER VOICE ACTIVITY DETECTION WITH AN AD ................................. 85HOC MICROPHONE ARRAYAlexander Bertrand, Marc Moonen, Katholieke Universiteit Leuven, Belgium

AE-L4.5: LINEAR FILTERING FOR NOISE REDUCTION AND INTERFERENCE ........................................................ 89REJECTIONMehrez Souden, Jacob Benesty, Sofiene Affes, INRS, Canada

AE-L4.6: THEORETICAL MUSICAL-NOISE ANALYSIS AND ITS GENERALIZATION FOR .................................... 93METHODS OF INTEGRATING BEAMFORMING AND SPECTRAL SUBTRACTION BASED ON HIGHER-ORDER STATISTICSYu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan; Kazunobu Kondo, Yamaha Corp., Japan

AE-P1: LOUDSPEAKER AND MICROPHONE ARRAY SIGNAL PROCESSING

AE-P1.1: OPTIMAL SPATIAL SAMPLING FOR SPHERICAL LOUDSPEAKER ARRAYS ............................................ 97Joshua Atkins, Johns Hopkins University, United States

AE-P1.2: AN ALGORITHM FOR POWER CONSTRAINED HOLOGRAPHIC REPRODUCTION ............................. 101OF SOUNDPaul Teal, Victoria University of Wellington, New Zealand; Terence Betlehem, Mark Poletti, Industrial Research Ltd., New Zealand

AE-P1.3: AN ANALYTICAL APPROACH TO 2.5D SOUND FIELD REPRODUCTION ................................................. 105EMPLOYING LINEAR DISTRIBUTIONS OF NON-OMNIDIRECTIONAL LOUDSPEAKERSJens Ahrens, Sascha Spors, Deutsche Telekom Laboratories, Germany

AE-P1.4: A SYSTEM-IDENTIFICATION-ERROR-ROBUST METHOD FOR EQUALIZATION ................................. 109OF MULTICHANNEL ACOUSTIC SYSTEMSWancheng Zhang, Emanuel Habets, Patrick Naylor, Imperial College London, United Kingdom

AE-P1.5: METHOD FOR DEREVERBERATION AND NOISE REDUCTION USING .................................................... 113SPHERICAL MICROPHONE ARRAYSYotam Peled, Boaz Rafaely, Ben-Gurion University of the Negev, Israel

AE-P1.6: SPACE DOMAIN OPTIMAL BEAMFORMING FOR SPHERICAL MICROPHONE ..................................... 117ARRAYSHaohai Sun, Norwegian University of Science and Technology, Norway; Shefeng Yan, Chinese Academy of Sciences, China; U. Peter Svensson, Norwegian University of Science and Technology, Norway

AE-P1.7: JOINT ESTIMATION OF DOA AND SPEECH BASED ON EM BEAMFORMING ......................................... 121Lae-Hoon Kim, Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign, United States; Gerasimos Potamianos, National Center of Scientific Research ``Demokritos, Greece; Vit Libal, NA, Czech Republic

AE-P1.8: SRP-PHAT METHODS OF LOCATING SIMULTANEOUS MULTIPLE TALKERS ..................................... 125USING A FRAME OF MICROPHONE ARRAY DATAHoang Do, Harvey Silverman, Brown University, United States

AE-P1.9: ESTIMATION OF SOUND SOURCE ORIENTATION USING EIGENSPACE OF .......................................... 129SPATIAL CORRELATION MATRIXKenta Niwa, Yusuke Hioka, Sumitaka Sakauchi, Ken’ichi Furuya, Yoichi Haneda, NTT Corporation, Japan

AE-P1.10: HEAD ORIENTATION ESTIMATION OF A SPEAKER BY UTILIZING KURTOSIS ................................ 133OF A DOA HISTOGRAM WITH RESTORATION OF DISTANCE EFFECTMasahito Togami, Yohei Kawaguchi, Hitachi, Ltd., Japan

AE-P1.11: SPEECH ENHANCEMENT VIA SEPARATION OF SOURCES FROM CO-LOCATED .............................. 137MICROPHONE RECORDINGSMuawiyath Shujau, Christian Ritz, University of Wollongong, Australia; Ian Burnett, Royal Melbourne Institute of Technology, Australia

AE-P1.12: PSYCHOACOUSTICALLY MOTIVATED, FREQUENCY DEPENDENT TIKHONOV .............................. 141REGULARIZATION FOR SOUNDFIELD PARAMETRIZATIONDeep Sen, Shuai Wang, University of New South Wales & Acouity Pty. Ltd., Australia; Andy Deffrasnes, Faculte Polytechnique de Mons, Belgium

AE-P1.13: DISAMBIGUATION IN MULTIDIMENSIONAL TRACKING OF MULTIPLE ............................................ 145ACOUSTIC SOURCES USING A GAUSSIAN LIKELIHOOD CRITERIONPengxiao Teng, Institute of Acoustics, Chinese Academy of Sciences, China; Anthony Lombard, Walter Kellermann, University of Erlangen-Nuremberg, Germany

AE-P2: ROOM ACOUSTICS AND HEARING AIDS

AE-P2.1: ESTIMATING DIRECT-TO-REVERBERANT ENERGY RATIO BASED ON SPATIAL .............................. 149CORRELATION MODEL SEGREGATING DIRECT SOUND AND REVERBERATIONYusuke Hioka, Kenta Niwa, Sumitaka Sakauchi, Ken’ichi Furuya, Yoichi Haneda, NTT Corporation, Japan

AE-P2.2: ESTIMATION OF REFLECTIVE SURFACES FROM CONTINUOUS SIGNALS ........................................... 153Sakari Tervo, Helsinki University of Technology, Finland; Teemu Korhonen, Tampere University of Technology, Finland

AE-P2.3: L1-REGULARIZED ROOM MODELING WITH COMPACT MICROPHONE ARRAYS .............................. 157Demba Ba, Massachusetts Institute of Technology, United States; Flavio Ribeiro, University of Sao Paulo, United States; Cha Zhang, Dinei Florencio, Microsoft Research, United States

AE-P2.4: REVERBERATION FEATURES IDENTIFICATION FROM MUSIC RECORDINGS ................................... 161USING THE DISCRETE WAVELET TRANSFORMGang Ren, Mark Bocko, Dave Headlam, University of Rochester, United States

AE-P2.5: DATABASE OF OMNIDIRECTIONAL AND B-FORMAT ROOM IMPULSE ................................................. 165RESPONSESRebecca Stewart, Mark Sandler, Queen Mary University of London, United Kingdom

AE-P2.6: HRTF DATABASE AT FIU DSP LAB ....................................................................................................................... 169Navarun Gupta, University of Bridgeport, United States; Armando Barreto, Florida International University, United States; Manan Joshi, University of Bridgeport, United States; Juan Carlos Agudelo, Wells Fargo & Company, United States

AE-P2.7: IMPROVING ADAPTIVE FEEDBACK CANCELLATION IN DIGITAL HEARING AIDS .......................... 173THROUGH OFFENDING FREQUENCY SUPPRESSIONAshutosh Pandey, V. John Mathews, University of Utah, United States

AE-P2.8: ADAPTIVE FEEDBACK CANCELLATION IN HEARING AIDS USING THE IPLS ..................................... 177ALGORITHMRandall Plate, Yongchao Wang, Zhi-Quan Luo, University of Minnesota, United States; Chris Gao, Intricon, Inc., United States

AE-P2.9: ADAPTIVE FEEDBACK CANCELLATION IN HEARING AIDS USING A SINUSOIDAL ........................... 181NEAR-END SIGNAL MODELKim Ngo, Toon van Waterschoot, Katholieke Universiteit Leuven, Belgium; Mads Græsbøll Christensen, Aalborg University, Denmark; Marc Moonen, Katholieke Universiteit Leuven, Belgium; Søren Holdt Jensen, Aalborg University, Denmark; Jan Wouters, Katholieke Universiteit Leuven, Belgium

AE-P2.10: EVALUATION OF SOUND CLASSIFICATION ALGORITHMS FOR HEARING AID ............................... 185APPLICATIONS JuanJuan Xiang, Martin F. McKinney, Kelly Fitz, Tao Zhang, Starkey Laboratories, United States

AE-P2.11: PERFORMANCE OF SINUSOIDAL MODEL BASED AMPLITUDE COMPRESSION ............................... 189IN FLUCTUATING NOISEJanet C. Rutledge, University of Maryland, Baltimore County, United States; Peggy B. Nelson, University of Minnesota, United States; Juan Carlos Tejero-Calado, University of Malaga, Spain; Jonathan K. Chang, Russell R. Williams, II, University of Maryland, Baltimore County, United States

AE-P2.12: A HIGHER-ORDER SPECTRO-TEMPORAL INTEGRATION MODEL FOR .............................................. 193PREDICTING SIGNAL AUDIBILITYQing Yang, John Harris, University of Florida, United States

AE-P2.13: A COMPARISON OF NONSTAGGERED COMPACT FDTD SCHEMES FOR THE 3D .............................. 197WAVE EQUATIONKonrad Kowalczyk, University of Erlangen-Nuremberg, Germany; Maarten van Walstijn, Queen’s University Belfast, United Kingdom

AE-P3: SIGNAL ENHANCEMENT AND SOURCE SEPARATION

AE-P3.1: SUBSPACE TRACKING OF MULTIPLE SOURCES AND ITS APPLICATION TO ...................................... 201SPEAKERS EXTRACTIONShmulik Markovich Golan, Sharon Gannot, Bar-Ilan University, Israel; Israel Cohen, Technion - Israel Institute of Technology, Israel

AE-P3.2: STUDY OF THE WIDELY LINEAR WIENER FILTER FOR NOISE REDUCTION ....................................... 205Jacob Benesty, INRS-EMT, University of Quebec, Canada; Jingdong Chen, Yiteng (Arden) Huang, WeVoice, Inc., United States

AE-P3.3: ANALYSIS OF THE FREQUENCY-DOMAIN WIENER FILTER WITH THE ................................................ 209PREDICTION GAINJingdong Chen, WeVoice, Inc., United States; Jacob Benesty, INRS-EMT, University of Quebec, Canada; Yiteng (Arden) Huang, WeVoice, Inc., United States

AE-P3.4: COMPLEX NEWTON ALGORITHM FOR BLIND SIGNAL EXTRACTION OF ........................................... 213SPEECH IN DIFFUSE NOISEJani Even, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan; Tomoya Takatani, Toyota Motor Corporation, Japan

AE-P3.5: DUAL CHANNEL NOISE REDUCTION METHOD USING PHASE ................................................................. 217DIFFERENCE-BASED SPECTRAL AMPLITUDE ESTIMATIONKyuhong Kim, So-Young Jeong, Jae-Hoon Jeong, Kwang-Cheol Oh, Jeongsu Kim, Samsung Electronics, Republic of Korea

AE-P3.6: SOUND ENHANCEMENT USING SPARSE APPROXIMATION WITH SPECLETS ...................................... 221Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz-Sbai, Audionamix, France

AE-P3.7: ON THE ROBUSTNESS OF THE MULTIDIMENSIONAL STATE COHERENCE ........................................ 225TRANSFORM FOR SOLVING THE PERMUTATION PROBLEM OF FREQUENCY-DOMAIN ICABenedikt Loesch, University of Stuttgart, Germany; Francesco Nesta, Fondazione Bruno Kessler - Irst, Italy; Bin Yang, University of Stuttgart, Germany

AE-P3.8: A SMALL DODECAHEDRAL MICROPHONE ARRAY FOR BLIND SOURCE ............................................. 229SEPARATIONMotoki Ogasawara, Takanori Nishino, Kazuya Takeda, Nagoya University, Japan

AE-P3.9: TOWARDS EFFECTIVE SINGING VOICE EXTRACTION FROM STEREOPHONIC ................................ 233RECORDINGSStratis Sofianos, Aladdin Ariyaeeinia, Richard Polfreman, University of Hertfordshire, United Kingdom

AE-P3.10: ON OPTIMIZING THE COMPUTATIONAL COMPLEXITY FOR VQ-BASED ........................................... 237SINGLE CHANNEL SOURCE SEPARATIONMichael Stark, Franz Pernkopf, Graz University of Technology, Austria

AE-P3.11: BLIND SPEECH SEPARATION EMPLOYING DIRECTIONAL STATISTICS IN AN ................................ 241EXPECTATION MAXIMIZATION FRAMEWORKDang Hai Tran Vu, Reinhold Haeb-Umbach, University of Paderborn, Germany

AE-P3.12: INFORMED SOURCE SEPARATION OF UNDERDETERMINED INSTANTANEOUS .............................. 245STEREO MIXTURES USING SOURCE INDEX EMBEDDINGMathieu Parvaix, Laurent Girin, GIPSA-lab, France

AE-P4: AUDIO ANALYSIS, SYNTHESIS, AND PROCESSING

AE-P4.1: MUSIC GENRE CLASSIFICATION VIA TOPOLOGY PRESERVING ............................................................ 249NON-NEGATIVE TENSOR FACTORIZATION AND SPARSE REPRESENTATIONSYannis Panagakis, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece

AE-P4.2: AUTOMATIC AUDIO TAGGING USING COVARIATE SHIFT ADAPTATION ............................................. 253Gordon Wichern, Arizona State University, United States; Makoto Yamada, Colorado State University, Japan; Harvey Thornburg, Arizona State University, United States; Masashi Sugiyama, Tokyo Institute of Technology, Japan; Andreas Spanias, Arizona State University, United States

AE-P4.3: PERCEPTUAL AUDIO FEATURES FOR UNSUPERVISED KEY-PHRASE ................................................... 257DETECTIONDirk von Zeddelmann, Frank Kurth, Fraunhofer-Gesellschaft zur Foerderung der angewandten Forschung e.V., Germany; Meinard Mueller, Saarland University and MPI Informatik, Germany

AE-P4.4: CONTENT-BASED AUDIO COPY DETECTION USING NEAREST-NEIGHBOR ......................................... 261MAPPINGVishwa Gupta, Gilles Boulianne, Patrick Cardinal, Centre de recherche informatique de Montreal, Canada

AE-P4.5: MUSIC MOOD CLASSIFICATION BY RHYTHM AND BASS-LINE UNIT PATTERN ................................ 265ANALYSISEmiru Tsunoo, Taichi Akase, Nobutaka Ono, Shigeki Sagayama, University of Tokyo, Japan

AE-P4.6: AUTOMATIC TEMPORAL ALIGNMENT OF AV DATA WITH CONFIDENCE .......................................... 269ESTIMATIONDanil Korchagin, Philip N. Garner, John Dines, Idiap Research Institute, Switzerland

AE-P4.7: TOP-DOWN STRATEGIES IN PARAMETER SELECTION OF SINUSOIDAL .............................................. 273MODELING OF AUDIOToni Hirvonen, Athanasios Mouchtaris, FORTH, Greece

AE-P4.8: EVALUATION OF A STEREO AUDIO DATA HIDING METHOD USING ..................................................... 277INTER-CHANNEL DECORRELATOR POLARITYKazuhiro Kondo, Yamagata University, Japan

AE-P4.9: ROBUST FREQUENCY-BASED AUDIO FINGERPRINTING............................................................................. 281Elsa Dupraz, ENS Cachan, France; Gael Richard, Telecom ParisTech, France

AE-P4.12: ACOUSTIC FRONT-END OPTIMIZATION FOR BIRD SPECIES RECOGNITION ..................................... 293Martin Graciarena, Michelle Delplanche, Elizabeth Shriberg, Andreas Stolcke, Luciana Ferrer, SRI International, United States

AE-P4.13: WILDLIFE INTRUDER DETECTION USING SOUNDS CAPTURED BY ..................................................... 297ACOUSTIC SENSORSMarius Ghiurcau, Corneliu Rusu, Technical University of Cluj-Napoca, Romania; Radu Bilcu, Nokia Research Center, Finland

AE-P4.14: GENERALIZED HARMONIC ANALYSIS OF ARC-TANGENT SQUARE ROOT (ATSR) ......................... 301NONLINEAR DEVICE FOR VIRTUAL BASS SYSTEMNay Oo, Woon-Seng Gan, Wee-Tong Lim, Digital Signal Processing Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

AE-P5: ECHO CANCELLATION AND ACTIVE NOISE CONTROL

AE-P5.1: AN IMPROVED DEVIATION MEASURE FOR TWO-PATH ECHO CANCELLATION ................................ 305Christian Schüldt, Blekinge Institute of Technology, Sweden; Fredric Lindstrom, Limes Technology AB, Sweden; Ingvar Claesson, Blekinge Institute of Technology, Sweden

AE-P5.2: AN IMPROVED PROPORTIONATE NLMS ALGORITHM BASED ON THE L0 ........................................... 309NORMConstantin Paleologu, University Politehnica of Bucharest, Romania; Jacob Benesty, Universite du Quebec, Canada; Silviu Ciochina, University Politehnica of Bucharest, Romania

AE-P5.3: AN ASSESSMENT OF LINEAR ADAPTIVE FILTER PERFORMANCE WITH ............................................. 313NONLINEAR DISTORTIONSMoctar Mossi Idrissa, Nicholas W. D. Evans, EURECOM, France; Christophe Beaugeant, Infineon Technologies AG, France

AE-P5.4: PERFORMANCE ANALYSIS OF IPNLMS FOR IDENTIFICATION OF ......................................................... 317TIME-VARYING SYSTEMSPradeep Loganathan, Emanu¨el Habets, Patrick Naylor, Imperial College London, United Kingdom

AE-P5.5: SOURCE-DOMAIN ADAPTIVE FILTERING FOR MIMO SYSTEMS WITH ................................................. 321APPLICATION TO ACOUSTIC ECHO CANCELLATIONKarim Helwani, Herbert Buchner, Sascha Spors, Deutsche Telekom Laboratories, Berlin University of Technology, Germany

AE-P5.6: A STEREO ECHO CANCELLER WITH SIMULTANEOUS INPUT-SLIDING AND ...................................... 325SLIDING-PERIOD CONTROLAkihiko Sugiyama, NEC Corporation, Japan; Yuusuke Mizuno, Akihiro Hirano, Kenji Nakayama, Kanazawa University, Japan

AE-P5.7: A NOVEL APPROACH TO CHANNEL DECORRELATION FOR STEREO ACOUSTIC ............................. 329ECHO CANCELLATION BASED ON MISSING FUNDAMENTAL THEORYLaura Romoli, Stefania Cecchi, Lorenzo Palestini, Paolo Peretti, Francesco Piazza, Universita Politecnica delle Marche, Italy

AE-P5.8: A VARIABLE STEP-SIZE NORMALIZED SIGN ALGORITHM FOR ACOUSTIC ....................................... 333ECHO CANCELATIONTiange Shao, Yahong Rosa Zheng, Missouri University of Science and Technology, United States; Jacob Benesty, University of Quebec, Canada

AE-P5.9: A CLIPPING-BASED ADAPTIVE FILTERING APPROACH FOR STEREOPHONIC .................................. 337ACOUSTIC ECHO CANCELLATIONMehdi Bekrani, Tarbiat Modares University, Iran; Andy W. H. Khong, Nanyang Technological University, Singapore; Mojtaba Lotfizad, Tarbiat Modares University, Iran

AE-P5.10: PSYCHOACOUSTIC ACTIVE NOISE CONTROL BASED ON DELAYLESS ............................................... 341SUBBAND ADAPTIVE FILTERINGHua Bao, Issa Panahi, University of Texas at Dallas, United States

AE-P5.11: FREQUENCY MISMATCH IN NARROWBAND ACTIVE NOISE CONTROL .............................................. 345Hyeon-Jin Jeon, Shin-Wook Kim, Min-Woo Park, Woo-Geun Lee, Tae-Gyu Chang, Chung-Ang University, Republic of Korea; Sen M. Kuo, Northern Illinois University, United States

AE-P5.12: ON MAXIMUM ACHIEVABLE NOISE REDUCTION IN ANC SYSTEMS ..................................................... 349Ali Milani, Govind Kannan, Issa Panahi, University of Texas at Dallas, United States

AE-P6: AUDIO CODING

AE-P6.1: AN SBR TOOL FOR VERY LOW DELAY APPLICATIONS WITH FLEXIBLE ............................................ 353CROSSOVER FREQUENCYMichael Werner, Ilmenau University of Technology, Germany; Gerald Schuller, Fraunhofer IDMT, Germany

AE-P6.2: A CONTINUOUS MODULATED SINGLE SIDEBAND BANDWIDTH EXTENSION...................................... 357Frederik Nagel, Fraunhofer Institute for Integrated Circuits IIS, Germany; Sascha Disch, Leibniz Universität Hannover, Germany; Stephan Wilde, Fraunhofer Institute for Integrated Circuits IIS, Germany

AE-P6.3: FLEXCODE - FLEXIBLE AUDIO CODING ........................................................................................................... 361Janusz Klejsa, Minyue Li, W. Bastiaan Kleijn, KTH - Royal Institute of Technology, Sweden

AE-P6.4: JOINT OPTIMIZATION OF THE PERCEPTUAL CORE AND LOSSLESS .................................................... 365COMPRESSION LAYERS IN SCALABLE AUDIO CODINGEmmanuel Ravelli, Vinay Melkote, Tejaswi Nanjundaswamy, Kenneth Rose, University of California, Santa Barbara, United States

AE-P6.5: MDCT SPECTRUM SEPARATION: CATCHING THE FINE SPECTRAL ...................................................... 369STRUCTURES FOR STEREO CODINGShuhua Zhang, Weibei Dou, Ping Chi, Huazhong Yang, Tsinghua University, China

AE-P6.6: GAUSSIAN-MIXTURE MODELING OF LATTICE-BASED SPHERICAL VECTOR .................................... 373QUANTIZATION PERFORMANCE IN TRANSFORM AUDIO CODINGWisarn Patchoo, Thomas Fischer, Washington State University, United States

AE-P6.7: ENHANCED SCALABLE TO LOSSLESS AUDIO CODING SCHEME.............................................................. 377Haiyan Shu, Haibin Huang, Te Li, Susanto Rahardja, Institute for Infocomm Research, Singapore

AE-P6.8: HIGH FREQUENCY RECONSTRUCTION OF AUDIO SIGNAL BASED ON ................................................. 381CHAOTIC PREDICTION THEORYYong-tao Sha, Chang-chun Bao, Mao-shen Jia, Xin Liu, Beijing University of Technology, China

AE-P6.9: ENHANCEMENT OF PRINCIPAL TO AMBIENT ENERGY RATIO FOR PCA-BASED .............................. 385PARAMETRIC AUDIO CODINGSe-Woon Jeon, Dongil Hyun, Yonsei University, Republic of Korea; Jeongil Seo, Electronics and Telecommunications Research Instititute (ETRI), Republic of Korea; Young-Cheol Park, Dae-Hee Youn, Yonsei University, Republic of Korea

AE-P6.10: SINUSOIDAL SPATIAL AUDIO CODING FOR LOW-BITRATE BINAURAL ............................................. 389REPRODUCTIONToni Hirvonen, Athanasios Mouchtaris, FORTH-ICS, Greece

AE-P6.11: PARAMETRIC BINAURAL AUDIO CODING ..................................................................................................... 393Pasi Ojala, Mikko Tammi, Miikka Vilermo, Nokia Research Center, Finland

AE-P6.12: ROBUST CRITICAL DATA RECOVERY FOR MPEG-4 AAC ENCODED .................................................... 397BITSTREAMSRuijing Hu, Xucen Huang, Michel Kieffer, L2S - CNRS - SUPELEC Univ Paris-Sud, France; Olivier Derrien, LMA, CNRS, France; Pierre Duhamel, L2S - CNRS - SUPELEC Univ Paris-Sud, France

AE-P7: MUSIC SIGNAL PROCESSING

AE-P7.1: INSTRUMENT IDENTIFICATION IN POLYPHONIC MUSIC SIGNALS BASED ON .................................. 401INDIVIDUAL PARTIALSJayme Barbedo, State University of Campinas, Brazil; George Tzanetakis, University of Victoria, Canada

AE-P7.2: ROBUST SIMILARITY METRICS BETWEEN AUDIO SIGNALS BASED ON ............................................... 405ASYMMETRICAL SPECTRAL ENVELOPE MATCHINGMathieu Lagrange, Roland Badeau, Gael Richard, Telecom ParisTech CNRS-LTCI, France

AE-P7.3: A COMPARATIVE STUDY OF TONAL ACOUSTIC FEATURES FOR A SYMBOLIC ................................ 409LEVELMUSIC-TO-SCORE ALIGNMENTCyril Joder, Slim Essid, Gaël Richard, Telecom ParisTech, France

AE-P7.4: HARMONIC VARIABLE-SIZE DICTIONARY LEARNING FOR MUSIC SOURCE ..................................... 413SEPARATIONSteven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, K. J. Ray Liu, University of Maryland, United States

AE-P7.5: PRESERVING THE CHARACTER OF PERTURBATIONS IN SCALED PITCH ........................................... 417CONTOURSThomas Baran, Nicolas Malyska, Thomas Quatieri, MIT Lincoln Laboratory, United States

AE-P7.6: CHARACTERIZATION OF MOVIE GENRE BASED ON MUSIC SCORE....................................................... 421Aida Austin, Elliot Moore II, Parag Chordia, Udit Gupta, Georgia Institute of Technology, United States

AE-P7.7: MELODY LINE ESTIMATION IN HOMOPHONIC MUSIC AUDIO SIGNALS BASED ............................... 425ON TEMPORAL-VARIABILITY OF MELODIC SOURCEHideyuki Tachibana, Takuma Ono, Nobutaka Ono, Shigeki Sagayama, University of Tokyo, Japan

AE-P7.8: A HYBRID REVERBERATION CROSSFADING TECHNIQUE ......................................................................... 429Aaron Greenblatt, Jonathan Abel, Stanford University, United States; David Berners, Stanford University and Universal Audio, Inc., United States

AE-P7.9: EMPIRICAL PHYSICAL MODELING FOR BOWED STRING INSTRUMENTS ............................................ 433Mark Sterling, Mark Bocko, University of Rochester, United States

AE-P7.10: BEAT-SYNC-MASH-CODER: A WEB APPLICATION FOR REAL-TIME CREATION ............................. 437OF BEAT-SYNCHRONOUS MUSIC MASHUPSGarth Griffin, Youngmoo Kim, Drexel University, United States; Douglas Turnbull, Swarthmore College, United States

AE-P7.11: PARTIAL CLUSTERING USING A TIME-VARYING FREQUENCY MODEL FOR ................................... 441SINGING VOICE DETECTIONLise Regnier, Geoffroy Peeters, IRCAM, France

AE-P7.12: NMF WITH TIME-FREQUENCY ACTIVATIONS TO MODEL NON STATIONARY ................................ 445AUDIO EVENTSRomain Hennequin, Roland Badeau, Bertrand David, Institut TELECOM, TELECOM ParisTech, CNRS LTCI, France

AE-P7.13: MULTIPLICATIVE UPDATE RULES FOR NONNEGATIVE MATRIX ........................................................ 449FACTORIZATION WITH CO-OCCURRENCE CONSTRAINTSSteven K. Tjoa, K. J. Ray Liu, University of Maryland, United States

BISP-L1: BIOMEDICAL IMAGING

BISP-L1.1: CONVERGENCE BEHAVIOR OF THE ACTIVE MASK SEGMENTATION .............................................. 453ALGORITHMDoru Balcan, Georgia Institute of Technology, United States; Gowri Srinivasa, PES School of Engineering, India; Matthew Fickus, Air Force Institute of Technology, United States; Jelena Kovacevic, Carnegie Mellon University, United States

BISP-L1.2: TEXTURE BASED IMAGE RECOGNITION IN MICROSCOPY IMAGES OF ........................................... 457DIFFUSE GLIOMAS WITH MULTI-CLASS GENTLE BOOSTING MECHANISMJun Kong, Lee Cooper, Ashish Sharma, Tahsin Kurc, Daniel Brat, Joel Saltz, Emory University, United States

BISP-L1.3: NESTED UNIFORM SAMPLING FOR MULTIRESOLUTION 3-D ............................................................... 461TOMOGRAPHYRizwan Ahmad, Periannan Kuppusamy, Lee Potter, Ohio State University, United States

BISP-L1.4: USING REED-MULLER SEQUENCES AS DETERMINISTIC COMPRESSED ........................................... 465SENSING MATRICES FOR IMAGE RECONSTRUCTIONKangyu Ni, Arizona State University, United States; Somantika Datta, Princeton University, United States; Prasun Mahanti, Svetlana Roudenko, Douglas Cochran, Arizona State University, United States

BISP-L1.5: NON-CONVEX GROUP SPARSITY: APPLICATION TO COLOR IMAGING ............................................. 469Angshul Majumdar, Rabab Ward, University of British Columbia, Canada

BISP-L1.6: ADAPTIVE ANISOTROPIC REGULARIZATION OF DEFORMATION FIELDS FOR ............................. 473NON-RIGID REGISTRATION USING THE MORPHON FRAMEWORKDaniel Forsberg, Mats Andersson, Hans Knutsson, Linköping University, Sweden

BISP-L2: MRI/FMRI

BISP-L2.1: RICIAN DISTRIBUTED FUNCTIONAL MRI: ASYMPTOTIC POWER ANALYSIS ................................. 477OF LIKELIHOOD RATIO TESTS FOR ACTIVATION DETECTIONJoonki Noh, University of Michigan, United States; Victor Solo, University of New South Wales, Australia

BISP-L2.2: IMPROVED QUANTIFICATION OF MRI RELAXATION RATES USING BAYESIAN ............................ 481ESTIMATIONKelvin Layton, Mark Morelande, Leigh Johnston, Peter Farrell, Bill Moran, University of Melbourne, Australia

BISP-L2.3: RESTORATION-BASED IRON OXIDE PARTICLES QUANTIFICATION IN MR ..................................... 485IMAGESDelphine Charpigny, Thomas Grenier, Christophe Odet, Hugues Benoit-Cattin, CREATIS, France

BISP-L2.4: BAYESIAN FRAMEWORK FOR ARTIFACT REDUCTION ON ECG IN MRI ............................................ 489Julien Oster, Nancy Université, Inserm U947, CHU Nancy Brabois, France; Olivier Pietquin, Supelec, France; Michel Kraemer, Schiller Médical SAS, France; Jacques Felblinger, Nancy Université, Inserm U947, CHU Nancy Brabois, France

BISP-L2.5: THE USE OF ISOMETRIC TRANSFORMATIONS AND BAYESIAN ESTIMATION ................................ 493IN COMPRESSIVE SENSING FOR FMRI CLASSIFICATIONAvishy Carmi, University of Cambridge, United Kingdom; Tara Sainath, IBM T. J. Watson Research Center, United States; Pini Gurfil, Technion - Israel Institute of Technology, Israel; Dimitri Kanevsky, David Nahamoo, Bhuvana Ramabhadran, IBM T. J. Watson Research Center, United States

BISP-L2.6: PHASE CORRECTION AND DENOISING FOR ICA OF COMPLEX FMRI DATA .................................... 497Pedro Rodriguez, Tulay Adali, Hualiang Li, Nicolle Correa, University of Maryland, Baltimore County, United States; Vince Calhoun, The Mind Research Network and The University of New Mexico, United States

BISP-L3: BIOMEDICAL SIGNAL PROCESSING

BISP-L3.1: HIERARCHICAL BAYESIAN MODELING OF INTER-TRIAL VARIABILITY AND ............................... 501VARIATIONAL BAYESIAN LEARNING OF COMMON SPATIAL PATTERNS FROM MULTICHANNEL EEGWei Wu, Zhe Chen, Massachusetts Institute of Technology, United States; Shangkai Gao, Tsinghua University, China; Emery Brown, Massachusetts Institute of Technology, United States

BISP-L3.2: QUANTIFYING EEG SYNCHRONY USING COPULAS .................................................................................. 505Satish G. Iyengar, Syracuse University, United States; Justin Dauwels, Massachusetts Institute of Technology, United States; Pramod K. Varshney, Syracuse University, United States; Andrzej Cichocki, RIKEN Brain Science Institute, Japan

BISP-L3.3: SWIFT: SCALABLE WEIGHTED ITERATIVE SAMPLING FOR FLOW ................................................... 509CYTOMETRY CLUSTERINGIftekhar Naim, University of Rochester, United States; Suprakash Datta, York University, Canada; Gaurav Sharma, James Cavenaugh, Tim Mosmann, University of Rochester, United States

BISP-L3.4: DIRECTED NETWORK INFERENCE USING A MEASURE OF DIRECTED ............................................. 513INFORMATIONYing Liu, Selin Aviyente, Michigan State University, United States

BISP-L3.5: IMPROVING THE PERFORMANCE OF NIRS-BASED BRAIN-COMPUTER ............................................ 517INTERFACES IN THE PRESENCE OF BACKGROUND AUDITORY DISTRACTIONSTiago Falk, Kelly Paton, Sarah Power, Tom Chau, Bloorview Kids Rehab, Canada

BISP-L3.6: A PARALLEL POINT-PROCESS FILTER FOR ESTIMATION OF .............................................................. 521GOAL-DIRECTED MOVEMENTS FROM NEURAL SIGNALSMaryam M. Shanechi, Gregory W. Wornell, Massachusetts Institute of Technology, United States; Ziv Williams, Massachusetts General Hospital, United States; Emery N. Brown, MIT, Massachusetts General Hospital, United States

BISP-P1: BIOINFORMATICS AND BIOMEDICAL SIGNAL PROCESSING

BISP-P1.1: IDENTIFYING RELIABLE SUBNETWORK MARKERS IN PROTEIN-PROTEIN .................................... 525INTERACTION NETWORK FOR CLASSIFICATION OF BREAST CANCER METASTASISJunjie Su, Byung-Jun Yoon, Texas A&M University, United States

BISP-P1.2: A STOCHASTIC MODEL OF PROLIFERATION OF CANCER STEM CELLS AND ................................ 529ITS ESTIMATION BY PARTICLE FILTERINGMonica Bugallo, Galina Botchkina, Petar Djuric, Stony Brook University, United States

BISP-P1.3: FURTHER RESULTS ON MESSAGE-PASSING ALGORITHMS FOR MOTIF ........................................... 534FINDINGSang Hyun Lee, Haris Vikalo, Sriram Vishwanath, University of Texas at Austin, United States

BISP-P1.4: STRUCTURING A GENE NETWORK USING A MULTIRESOLUTION ...................................................... 538INDEPENDENCE TESTTakayuki Yamamoto, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan

BISP-P1.5: GAME THEORETIC MODEL FOR CONTROL OF GENE REGULATORY ................................................ 542NETWORKSLiming Wang, Dan Schonfeld, University of Illinois at Chicago, United States

BISP-P1.6: INFERRING PARAMETERS OF GENE REGULATORY NETWORKS VIA ............................................... 546PARTICLE FILTERINGXiaohu Shen, Haris Vikalo, University of Texas at Austin, United States

BISP-P1.7: HIDDEN MARKOV MODELS FOR MODELING BLOOD PRESSURE DATA TO ..................................... 550PREDICT ACUTE HYPOTENSIONAbhishek Singh, University of Florida, United States; Tejaswi Tamminedi, Guy Yosiphon, Anurag Ganguli, Jacob Yadegar, UtopiaCompression Corporation, United States

BISP-P1.8: DETECTION OF SINGLE ACTION POTENTIAL IN MULTI-UNIT ............................................................. 554POSTGANGLIONIC SYMPATHETIC NERVE RECORDINGS IN HUMANS: A MATCHED WAVELET APPROACHAryan Salmanpour, Lyndon Brown, Kevin Shoemaker, University of Western Ontario, Canada

BISP-P1.9: A NEW BEAMFORMING-BASED MEG DIPOLE SOURCE LOCALIZATION ........................................... 558METHODHamid Mohseni, Saeid Sanei, Cardiff University, United Kingdom

BISP-P1.10: SEPARATION OF EOG ARTIFACTS FROM EEG SIGNALS USING BIVARIATE ................................. 562EMDMd. Khademul Islam Molla, University of Rajshahi, Bangladesh; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan; Tomasz M. Rutkowski, Andrzej Cichocki, RIKEN Brain Science Institute, Japan

BISP-P1.11: MULTIFRACTAL ANALYSIS OF ECG FOR INTRAPARTUM DIAGNOSIS OF ..................................... 566FETAL ASPHYXIAPatrice Abry, Hannes Helgason, Paulo Gonçalves, Ecole Normale Superieure de Lyon, France; Edmundo Pereira de Souza Neto, Pascal Gaucherand, Muriel Doret, Hospices Civils de Lyon, France

BISP-P1.12: METHODS TO EXTRACT RESPIRATION INFORMATION FROM ECG SIGNALS ............................... 570Rangsal Ruangsuwana, Gordana Velikic, Mark Bocko, University of Rochester, United States

BISP-P2: BIOMEDICAL SIGNAL PROCESSING: FEATURE EXTRACTION, DETECTION AND ESTIMATION

BISP-P2.1: DIRECT INTERFERENCE SUPPRESSION IN EEG/MEG DIPOLE SOURCE ............................................ 574LOCALIZATIONShun Chi Wu, A. Lee Swindlehurst, Yu Chen Yao, University of California, Irvine, United States

BISP-P2.2: FIXED AND FLOATING POINT ANALYSIS OF LINEAR PREDICTORS FOR ......................................... 578PHYSIOLOGICAL HAND TREMOR IN MICROSURGERYBrent W. Robinson, Raytheon Co., United States; David Hernandez-Garduno, Texas Instruments, United States; Mohammad Saquib, University of Texas at Dallas, United States

BISP-P2.3: DESIGN OF A DYSARTHRIA CLASSIFIER USING GLOBAL STATISTICS OF ....................................... 582SPEECH FEATURESMonali Mujumdar, Robert Kubichek, University of Wyoming, United States

BISP-P2.4: MAXIMUM LIKELIHOOD DNA SEQUENCE DETECTION VIA SPHERE ................................................. 586DECODINGTing Wu, Haris Vikalo, University of Texas at Austin, United States

BISP-P2.5: MOTION ARTIFACT CANCELLATION TO OBTAIN HEART SOUNDS FROM A ................................... 590SINGLE CHEST-WORN ACCELEROMETERKeya Pandia, Texas Instruments/Stanford University, United States; Sourabh Ravindran, Randy Cole, Texas Instruments, United States; Gregory Kovacs, Laurent Giovangrandi, Stanford University, United States

BISP-P2.6: ENHANCED CLASSICAL DYSPHONIA MEASURES AND SPARSE REGRESSION ................................ 594FOR TELEMONITORING OF PARKINSON’S DISEASE PROGRESSIONAthanasios Tsanas, Max A. Little, Patrick E. McSharry, University of Oxford, United Kingdom; Lorraine O. Ramig, National Center for Voice and Speech, United States

BISP-P2.7: GRAPH-SPECTRUM-BASED NEURAL SPIKE FEATURES FOR STEREOTRODES ............................... 598AND TETRODESYasser Ghanbari, Panos Papamichalis, Southern Methodist University, United States; Larry Spence, Plexon, Inc., United States

BISP-P2.8: AN ANALYTIC SPATIAL FILTER AND A HIDDEN MARKOV MODEL FOR .......................................... 602ENHANCED INFORMATION TRANSFER RATE IN EEG-BASED BRAIN COMPUTER INTERFACESMartin McCormick, Rui Ma, Todd Coleman, University of Illinois at Urbana-Champaign, United States

BISP-P2.9: CLASSIFICATION OF ALZHEIMER’S DISEASE AND MILD COGNITIVE .............................................. 606IMPAIRMENT BY PATTERN RECOGNITION OF EEG POWER AND COHERENCEKwaku Akrofi, Ranadip Pal, Mary Baker, Brian Nutter, Texas Tech University, United States; Randolph Schiffer, Cleveland Clinic, United States

BISP-P2.10: FEATURE EXTRACTION WITH MULTISCALE AUTOREGRESSION OF .............................................. 610MULTICHANNEL TIME SERIES FOR P300 SPELLER BCILin He, Zhenghui Gu, Yuanqing Li, Zhuliang Yu, South China University of Technology, China

BISP-P2.11: LEARNING FROM OTHER SUBJECTS HELPS REDUCING ...................................................................... 614BRAIN-COMPUTER INTERFACE CALIBRATION TIMEFabien Lotte, Cuntai Guan, Institute for Infocomm Research, Singapore

BISP-P3: MEDICAL AND BIOLOGICAL IMAGING

BISP-P3.1: NONLINEAR KERNEL BACKPROJECTION FOR COMPUTED TOMOGRAPHY .................................... 618Hiroyuki Takeda, Peyman Milanfar, University of California, Santa Cruz, United States

BISP-P3.3: COMPRESSED SENSING MRI WITH COMBINED SPARSIFYING ............................................................. 626TRANSFORMS AND SMOOTHED L0 NORM MINIMIZATIONXiaobo Qu, Xue Cao, Di Guo, Changwei Hu, Zhong Chen, Xiamen University, China

BISP-P3.4: ON COMPRESSED SENSING IN PARALLEL MRI OF CARDIAC PERFUSION ....................................... 630USING TEMPORAL WAVELET AND TV REGULARIZATIONCagdas Bilen, Ivan W. Selesnick, Yao Wang, Polytechnic Institute of New York University, United States; Ricardo Otazo, Daniel Kim, Leon Axel, Daniel K. Sodickson, NYU School of Medicine, United States

BISP-P3.5: A SEMIPARAMETRIC PCA APPROACH TO FMRI DATA ANALYSIS ....................................................... 634Magnus Ulfarsson, University of Iceland, Iceland; Victor Solo, University of New South Wales, Australia

BISP-P3.6: SYMMETRICAL EEG/FMRI FUSION WITH SPATIALLY ADAPTIVE PRIORS ...................................... 638USING VARIATIONAL DISTRIBUTION APPROXIMATIONMartin Luessi, S. Derin Babacan, Northwestern University, United States; Rafael Molina, Universidad de Granada, Spain; James R. Booth, Aggelos K. Katsaggelos, Northwestern University, United States

BISP-P3.7: ARMA REGULARIZATION OF CARDIAC PERFUSION MODELING......................................................... 642Philip Batchelor, Amedeo Chiribiri, Niloufar Zarinabad Nooralipour, Zoran Cvetkovic, King’s College London, United Kingdom

BISP-P3.8: THREE-DIMENSIONAL TRACING OF NEURITES IN FLUORESCENCE ................................................. 646MICROSCOPY IMAGES USING LOCAL PATH-FINDINGMagnus Gedda, Uppsala University, Sweden; Pascal Vallotton, CSIRO, Australia

BISP-P4: MEDICAL IMAGE ANALYSIS

BISP-P4.3: PHASE BASED VOLUME REGISTRATION USING CUDA............................................................................. 658Anders Eklund, Mats Andersson, Hans Knutsson, Linköping University, Sweden

BISP-P4.4: A SHAPE-BASED FRAMEWORK TO SEGMENTATION OF TONGUE CONTOURS .............................. 662FROM MRI DATATing Peng, Erwan Kerrien, Marie-Odile Berger, INRIA Nancy-Grand Est, France

BISP-P4.5: USE OF IMPERFECTLY SEGMENTED NUCLEI IN THE CLASSIFICATION OF .................................... 666HISTOPATHOLOGY IMAGES OF BREAST CANCERLaura Boucheron, New Mexico State University, United States; B. S. Manjunath, University of California, Santa Barbara, United States; Neal Harvey, Los Alamos National Laboratory, United States

BISP-P4.6: 3D IMAGE SEGMENTATION IMPLEMENTATION ON FPGA USING THE ............................................. 670EM/MPM ALGORITHMYan Sun, Lauren A. Christopher, Indiana University Purdue University Indianapolis, United States

BISP-P4.7: DISTINGUISHING SECOND HARMONIC GENERATION IMAGES OF MOUSE ..................................... 674PRETERM LABOR VIA WAVELET-BASED TEXTURE FEATURESAli Sobhi-Afshar, Nasser Kehtarnavaz, University of Texas at Dallas, United States; Meredith Akins, Kate Luby-Phelps, Mala Mahendroo, University of Texas Southwestern Medical Center, United States

BISP-P4.8: POLYP DETECTION IN WIRELESS CAPSULE ENDOSCOPY VIDEOS BASED ...................................... 678ON IMAGE SEGMENTATION AND GEOMETRIC FEATURESae Hwang, University of Illinois at Springfield, United States; M. Emre Celebi, Louisiana State University in Shreveport, United States

BISP-P4.9: DETECTION OF FRACTURE AND QUANTITATIVE ASSESSMENT OF ................................................... 682DISPLACEMENT MEASURES IN PELVIC X-RAY IMAGESRebecca Smith, Kevin Ward, Charles Cockrell, Johnathan Ha, Kayvan Najarian, Virginia Commonwealth University, United States

IVMSP-L1: SCALABLE AND MULTIVIEW CODING

IVMSP-L1.1: A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF ....................................... 6863D VIDEOVaruna De Silva, Anil Fernando, Hemantha Kodikara Arachchi, I-Lab, CCSR, University of Surrey, United Kingdom

IVMSP-L1.4: BANDELET-BASED STEREO IMAGE CODING ........................................................................................... 698Aldo Maalouf, Mohamed-Chaker Larabi, University of Poitiers, France

IVMSP-L1.5: ADAPTIVE MOTION-ESTIMATION-MODE SELECTION FOR DEPTH VIDEO .................................. 702CODINGBuncha Kamolrat, Anil Fernando, Marta Mrak, University of Surrey, United Kingdom

IVMSP-L2: VIDEO MOTION ANALYSIS AND OBJECT TRACKING

IVMSP-L2.3: MOTION ESTIMATION FROM COMPRESSED LINEAR MEASUREMENTS ....................................... 714Vijayaraghavan Thirumalai, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

IVMSP-L2.4: COMPRESSIVE SENSING AND DIFFERENTIAL IMAGE MOTION ...................................................... 718ESTIMATIONNathan Jacobs, Stephen Schuh, Robert Pless, Washington University, United States

IVMSP-L2.5: SUBPIXEL MOTION ESTIMATION WITHOUT INTERPOLATION ........................................................ 722Ho Chan, Dung Vo, Truong Nguyen, University of California, San Diego, United States

IVMSP-L3: VIDEO CODING I

IVMSP-L3.1: TOWARDS JOINTLY OPTIMAL SPATIAL PREDICTION AND ADAPTIVE ........................................ 726TRANSFORM IN VIDEO/IMAGE CODINGJingning Han, Ankur Saxena, Kenneth Rose, University of California, Santa Barbara, United States

IVMSP-L3.2: CONTENT-AWARE H.264 ENCODING FOR TRAFFIC VIDEO TRACKING ........................................ 730APPLICATIONSEren Soyak, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos, Northwestern University, United States

IVMSP-L3.3: VIDEO CODING USING THE MOST COMMON FRAME IN SCENE ....................................................... 734Manoranjan Paul, Weisi Lin, Chiew Tong Lau, Bu Sung Lee, Nanyang Technological University, Singapore

IVMSP-L3.4: VIDEO COMPRESSION WITH 1-D DIRECTIONAL TRANSFORMS IN ................................................. 738H.264/AVCFatih Kamisli, Jae Lim, Massachusetts Institute of Technology, United States

IVMSP-L3.5: A DEPTH REFINEMENT ALGORITHM FOR MULTI-VIEW VIDEO ..................................................... 742SYNTHESISHsin-Chia Shih, Hsu-Feng Hsiao, National Chiao Tung University, Taiwan

IVMSP-L3.6: INTER-VIEW-PREDICTED REDUNDANT PICTURES FOR VIEWPOINT ............................................ 746SWITCHING IN MULTIVIEW VIDEO STREAMINGLing Zhu, University of Science and Technology of China, China; Miska M Hannuksela, Nokia Research Center, Finland; Houqiang Li, University of Science and Technology of China, China

IVMSP-L4: STEREOSCOPIC AND 3-D PROCESSING

IVMSP-L4.1: SPATIO-ANGULAR SHARPENING FOR MULTIVIEW 3D DISPLAYS ................................................... 750Vikas Ramachandra, University of California, San Diego, United States; Keigo Hirakawa, Harvard University, United States; Matthias Zwicker, Truong Nguyen, University of California, San Diego, United States

IVMSP-L4.2: LIGHT FIELD BASED DIGITAL REFOCUSING USING A DSLR CAMERA ......................................... 754WITH A PINHOLE ARRAY MASKChih-Chieh Chen, Yi-Chang Lu, Ming-Shing Su, National Taiwan University, Taiwan

IVMSP-L4.3: STEREO MATCHING ALGORITHM BASED ON CURVELET ................................................................. 758DECOMPOSITION AND MODIFIED SUPPORT WEIGHTSDibyendu Mukherjee, Guanghui Wang, Jonathan Wu, University of Windsor, Canada

IVMSP-L4.4: REAL-TIME CALIBRATION-FREE AUTONOMOUS EYE TRACKER .................................................... 762Frank Klefenz, Fraunhofer Institut for Digital Media Technology, Germany; Peter Husar, Daniel Krenzer, Albrecht Hess, Ilmenau University of Technology, Germany

IVMSP-L5: SPARSENESS AND TOTAL VARIATION IN IMAGE RESTORATION

IVMSP-L5.1: TOTAL-VARIATION REGULARIZATION WITH BOUND CONSTRAINTS ........................................... 766Rick Chartrand, Brendt Wohlberg, Los Alamos National Laboratory, United States

IVMSP-L5.2: FAST TOTAL VARIATION IMAGE RESTORATION WITH PARAMETER .......................................... 770ESTIMATION USING BAYESIAN INFERENCEBruno Amizic, Derin Babacan, Northwestern University, United States; Michael Ng, Hong Kong Baptist University, Hong Kong SAR of China; Rafael Molina, Universidad de Granada, Spain; Aggelos Katsaggelos, Northwestern University, United States

IVMSP-L5.3: ITERATED SMOOTHING FOR ACCELERATED GRADIENT CONVEX ............................................... 774MINIMIZATION IN SIGNAL PROCESSINGTobias Lindstrøm Jensen, Jan Østergaard, Søren Holdt Jensen, Aalborg University, Denmark

IVMSP-L5.4: COLOR IMAGE DESATURATION USING SPARSE RECONSTRUCTION ............................................. 778Hassan Mansour, Rayan Saab, Panos Nasiopoulos, Rabab Ward, University of British Columbia, Canada

IVMSP-L5.5: A WEIGHTED DISCRIMINATIVE APPROACH FOR IMAGE DENOISING WITH .............................. 782OVERCOMPLETE REPRESENTATIONSAmir Adler, Technion - Israel Institute of Technology, Israel; Yacov Hel-Or, The Interdisciplinary Center, Israel; Michael Elad, Technion - Israel Institute of Technology, Israel

IVMSP-L5.6: IMAGE RECOVERY USING SPARSE RECONSTRUCTION BASED TEXTURE ................................... 786REFINEMENTHaricharan Lakshman, Martin Koeppel, Patrick Ndjiki-Nya, Fraunhofer Institute for Telecommunications - Heinrich Hertz Institute, Germany; Thomas Wiegand, Fraunhofer Institute for Telecommunications and Technical University of Berlin, Germany

IVMSP-L6: IMAGE/VIDEO ANNOTATION AND RETRIEVAL

IVMSP-L6.1: MULTIVARIATE STATISTICAL MODELING FOR TEXTURE ANALYSIS USING ............................ 790WAVELET TRANSFORMSNour-Eddine Lasmar, Yannick Berthoumieu, Bordeaux University, France

IVMSP-L6.2: BUILDING PAIR-WISE VISUAL WORD TREE FOR EFFICENT IMAGE .............................................. 794RE-RANKINGShiliang Zhang, Institute of Computing Technology, Chinese Academy of Sciences, China; Qingming Huang, Graduate School of Chinese Academy of Sciences, China; Yijuan Lu, Texas State University, United States; Wen Gao, Institute of Computing Technology, Chinese Academy of Sciences, China; Qi Tian, University of Texas at San Antonio, United States

IVMSP-L6.3: MINING ACTOR CORRELATIONS WITH HIERARCHICAL CONCURRENCE .................................. 798PARSINGKun Yuan, Hongxun Yao, Rongrong Ji, Harbin Institute of Technology, China

IVMSP-L6.4: EXPLORING STATISTICAL PROPERTIES FOR SEMANTIC ANNOTATION: .................................... 802SPARSE DISTRIBUTED AND CONVERGENT ASSUMPTIONS FOR KEYWORDSXianming Liu, Hongxun Yao, Rongrong Ji, Harbin Institute of Technology, China

IVMSP-L6.5: AUTOMATIC IMAGE ANNOTATION WITH CONTINUOUS PLSA ......................................................... 806Zhixin Li, Zhiping Shi, Xi Liu, Zhongzhi Shi, Institute of Computing Technology, Chinese Academy of Sciences, China

IVMSP-L7: FEATURE EXTRACTION AND ANALYSIS II

IVMSP-L7.1: LOCOCO: LOW COMPLEXITY CORNER DETECTOR ............................................................................. 810Pradip Mainali, Katholieke Universiteit Leuven, Belgium; Qiong Yang, Gauthier Lafruit, Rudy Lauwereins, IMEC, Belgium; Luc Van Gool, Katholieke Universiteit Leuven, Belgium

IVMSP-L7.2: WEAKLY TRAINED DUAL FEATURES EXTRACTION BASED DETECTOR FOR ............................. 814FRONTAL FACE DETECTIONWael Louis, Konstantinos Plataniotis, University of Toronto, Canada

IVMSP-L7.3: USING 2D TENSOR VOTING IN TEXT DETECTION .................................................................................. 818Toan Nguyen, Jonghyun Park, Gueesang Lee, Chonnam National University, Republic of Korea

IVMSP-L7.4: A DISTRIBUTED PSYCHO-VISUALLY MOTIVATED CANNY EDGE ................................................... 822DETECTORSrenivas Varadarajan, Chaitali Chakrabarti, Lina Karam, Arizona State University, United States; Judit Martinez, Qualcomm Incorporation, United States

IVMSP-L8: IMAGE PROCESSING FOR BIOMETRICS

IVMSP-L8.1: DIFFERENTIAL RADON TRANSFORM FOR GAIT RECOGNITION ...................................................... 834Tanaya Guha, Rabab Ward, University of British Columbia, Canada

IVMSP-L8.2: SPARSE REPRESENTATION FOR ACCURATE CLASSIFICATION OF ................................................ 838CORRUPTED AND OCCLUDED FACIAL EXPRESSIONSShane Cotter, Union College, United States

IVMSP-L8.4: REMOVING ILLUMINATION ARTIFACTS FROM FACE IMAGES USING THE ................................ 846NUISANCE ATTRIBUTE PROJECTIONVitomir Štruc, Boštjan Vesnicer, France Mihelic, Nikola Pavešic, University of Ljubljana, Slovenia

IVMSP-L8.5: A COMBINED PULLING & PUSHING AND ACTIVE CONTOUR MODEL FOR .................................. 850PUPIL SEGMENTATIONCarlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti, Federal University of Pernambuco, Brazil

IVMSP-L8.6: 3D FACE REPRESENTATION AND RECOGNITION BY INTRINSIC SHAPE ...................................... 854DESCRIPTION MAPSZhe Guo, Yanning Zhang, Northwestern Polytechnical University, China; Yong Xia, University of Sydney, Australia; Zenggang Lin, Northwestern Polytechnical University, China; Dagan Feng, University of Sydney, Australia

IVMSP-L9: INTERPOLATION AND SUPERRESOLUTION

IVMSP-L9.1: HIGH FRAME RATE MOTION COMPENSATED FRAME INTERPOLATION IN ............................... 858HIGH-DEFINITION VIDEO PROCESSINGYen-Lin Lee, Truong Nguyen, University of California, San Diego, United States

IVMSP-L9.2: VIDEO SUPER-RESOLUTION USING HIGH QUALITY PHOTOGRAPHS ............................................. 862Cosmin Ancuti, Codruta Ancuti, Philippe Bekaert, EDM-Hasselt University, Belgium

IVMSP-L9.3: EMPIRICAL TYPE-I FILTER DESIGN FOR IMAGE INTERPOLATION ................................................ 866Karl Ni, Massachusetts Institute of Technology, United States; Truong Nguyen, University of California, San Diego, United States

IVMSP-L9.5: IMAGE INTERPOLATION WITH HIDDEN MARKOV MODEL ............................................................... 874Amin Behnad, Xiaolin Wu, McMaster University, Canada

IVMSP-L9.6: GRAPH-BASED REGULARIZATION FOR SPHERICAL SIGNAL ........................................................... 878INTERPOLATIONTamara Tosic, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

IVMSP-P1: VIDEO CODING II

IVMSP-P1.1: RATE DISTORTION OPTIMIZATION FOR BIDIRECTIONAL SCALABLE ......................................... 882MOTION MODELHu Chen, University of Electronic Science and Technology of China, China; Meng-Ping Kao, Qualcomm, United States; Zhao Liu, University of Electronic Science and Technology of China, China; Truong Nguyen, University of California, San Diego, United States

IVMSP-P1.2: MULTIPLE SELECTION APPROXIMATION FOR IMPROVED .............................................................. 886SPATIO-TEMPORAL PREDICTION IN VIDEO CODINGJürgen Seiler, André Kaup, University of Erlangen-Nuremberg, Germany

IVMSP-P1.3: FILM GRAIN NOISE REMOVAL AND SYNTHESIS IN VIDEO CODING ............................................... 890Jingjing Dai, Oscar C. Au, Chao Pang, Wen Yang, Feng Zou, Hong Kong University of Science and Technology, Hong Kong SAR of China

IVMSP-P1.4: DIFFERENTIAL-SPIHT FOR IMAGE SEQUENCE CODING ..................................................................... 894Yang Hu, William Pearlman, Rensselaer Polytechnic Institute, United States

IVMSP-P1.5: CONTEXT-ADAPTIVE PIXEL BASED PREDICTION FOR INTRA FRAME ......................................... 898ENCODINGYongbing Zhang, Harbin Institute of Technology, China; Li Zhang, Siwei Ma, Peking University, China; Debin Zhao, Harbin Institute of Technology, China; Wen Gao, Peking University, China

IVMSP-P1.6: A L1-NORM PRESERVING MOTION-COMPENSATED TRANSFORM FOR ........................................ 902SPARSE APPROXIMATION OF IMAGE SEQUENCESMarkus Flierl, KTH - Royal Institute of Technology, Sweden

IVMSP-P1.7: NETWORK-BASED PACKET LOSS VISIBILITY MODEL FOR SDTV AND .......................................... 906HDTV FOR H.264 VIDEOSTing-Lan Lin, Pamela Cosman, University of California, San Diego, United States

IVMSP-P1.8: CLASSIFICATION OF MPEG-2 TRANSPORT STREAM PACKET LOSS ............................................... 910VISIBILITYJihyun Shin, Pamela Cosman, University of California, San Diego, United States

IVMSP-P1.9: H.264/AVC INTER-FRAME RATE-DISTORTION DEPENDENCY ANALYSIS ...................................... 914BASED ON AN INDEPENDENT REGIME-SWITCHING AR MODELNesrine Changuel, LSS-Supelec, France; Bessem Sayadi, Alcatel Lucent Bell Labs, France; Michel Kieffer, LSS, CNRS-Supelec-Univ Paris-Sud, France

IVMSP-P1.10: ADAPTIVE SEARCH RANGE SELECTION IN MOTION ESTIMATION ............................................... 918Chung-Cheng Lou, Szu-Wei Lee, C.-C. Jay Kuo, University of Southern California, United States

IVMSP-P1.11: WAITING CYCLE ANALYSIS ON H.246 DECODER RUN IN PAC DUO .............................................. 922PLATFORMWen-Chien Su, Jen-Kuei Yang, Kuei-Chun Liu, Shau-Yin Tseng, Wen-Shan Wang, Industrial Technology Research Institute, Taiwan

IVMSP-P2: FEATURE EXTRACTION AND ANALYSIS I

IVMSP-P2.1: OBJECT RECOGNITION BY A COMPLETE SET OF PSEUDO-ZERNIKE ............................................ 930MOMENT INVARIANTSHui Zhang, Zhifang Dong, Huazhong Shu, Southeast University, China

IVMSP-P2.2: SHAPE MATCHING BASED ON GRAPH ALIGNMENT USING HIDDEN .............................................. 934MARKOV MODELSXiaoning Qian, University of South Florida, United States; Byung-Jun Yoon, Texas A&M University, United States

IVMSP-P2.3: CC-SIFT: EXPLOITING CHROMATIC CONTRAST FOR WIDE-BASELINE ........................................ 938MATCHINGCodruta Ancuti, Cosmin Ancuti, Philippe Bekaert, EDM-Hasselt University, Belgium

IVMSP-P2.4: IMAGE RETARGETING USING A BANDELET-BASED SIMILARITY MEASURE ............................... 942Aldo Maalouf, Mohamed-Chaker Larabi, University of Poitiers, France

IVMSP-P2.5: THE ROLE OF GEOMETRY FOR AGE ESTIMATION ............................................................................... 946Pavan Turaga, Soma Biswas, Rama Chellappa, University of Maryland, United States

IVMSP-P2.6: HIERARCHICAL MODEL FOR OBJECT RECOGNITION BASED ON .................................................. 950NATURAL-STIMULI ADAPTED FILTERSPankaj Mishra, B. Keith Jenkins, University of Southern California, United States

IVMSP-P2.7: 3-PARAMETER BASED EIGENFEATURE REGULARIZATION FOR HUMAN .................................... 954ACTIVITY RECOGNITIONBappaditya Mandal, How-Lung Eng, Institute for Infocomm Research, A*STAR, Singapore

IVMSP-P2.8: MATCHING CANVAS WEAVE PATTERNS FROM PROCESSING X-RAY ........................................... 958IMAGES OF MASTER PAINTINGSDon Johnson, Lucia Sun, Rice University, United States; Richard Johnson, Jr., Cornell University, United States; Ella Hendriks, van Gogh Museum, Netherlands

IVMSP-P2.9: STATISTICS OF NATURAL IMAGE DISTORTIONS ................................................................................... 962Anush Moorthy, Alan Bovik, University of Texas at Austin, United States

IVMSP-P2.10: REFINEMENT OF EXTRACTED VISUAL ATTENTION AREAS IN VIDEO ........................................ 966SEQUENCESXiaodong Gu, Zhibo Chen, Quqing Chen, Thomson, China

IVMSP-P2.11: RESOLUTION SELECTIVE CHANGE DETECTION IN SATELLITE IMAGES ................................... 970Turgay Celik, National University of Singapore, Singapore; Chandra V. Curtis, Office of Naval Research, Japan

IVMSP-P2.12: A LOCAL APPEARANCE CONTEXTUAL DESCRIPTOR FOR OBJECT ............................................. 974MATCHINGXiaozhen Xia, Shuwu Zhang, Wei Liang, Institute of Automation, Chinese Academy of Sciences, China

IVMSP-P2.13: FROM EDGES TO LINEAR FEATURES: A PCA AND GRAPH BASED METHOD .............................. 978Jian Li, Xiangjing An, Jun Tan, Hangen He, National University of Defence Technology, China

IVMSP-P2.14: A NEW MODEL FOR GABOR COEFFICIENTS’ MAGNITUDE IN FACE ............................................ 982RECOGNITIONJuan Ramón Troncoso-Pastoriza, University of Vigo, Spain; Daniel González-Jiménez, Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain; Fernando Pérez-González, University of Vigo, Spain

IVMSP-P3: IMAGE CAPTURE, REPRODUCTION, AND QUALITY

IVMSP-P3.1: NOVEL 2-D MMSE SUBPIXEL-BASED IMAGE DOWN-SAMPLING FOR ............................................. 986MATRIX DISPLAYSLu Fang, Oscar C. Au, Hong Kong University of Science and Technology, Hong Kong SAR of China

IVMSP-P3.2: AN ADAPTIVE SPARSE REPRESENTATION FOR REMOTE SENSING IMAGE ................................. 990BASED ON COMBINATION OF WAVELET AND ADAPTIVE DIRECTIONAL FILTERChengfu Huo, Rong Zhang, Dong Yin, University of Science and Technology of China, China

IVMSP-P3.3: FAST STRUCTURAL SIMILARITY INDEX ALGORITHM ........................................................................ 994Ming-Jun Chen, Alan Conrad Bovik, University of Texas at Austin, United States

IVMSP-P3.4: ALGORITHMS FOR COLOR LOOK-UP-TABLE (LUT) DESIGN VIA JOINT ....................................... 998OPTIMIZATION OF NODE LOCATIONS AND OUTPUT VALUESVishal Monga, Pennsylvania State University, United States; Raja Bala, Xerox Corporation, United States

IVMSP-P3.5: SPATIAL AND TEMPORAL POOLING OF IMAGE QUALITY METRICS FOR ................................. 1002PERCEPTUAL VIDEO QUALITY ASSESSMENT ON PACKET LOSS STREAMSJunyong You, Jari Korhonen, Andrew Perkis, Norwegian University of Science and Technology, Norway

IVMSP-P3.6: DEMOSAICKING IMAGES WITH MOTION BLUR ................................................................................... 1006Shay Har-Noy, Stanley H. Chan, Truong Q. Nguyen, University of California, San Diego, United States

IVMSP-P3.7: TEMPORAL MOTION SMOOTHNESS MEASUREMENT FOR .............................................................. 1010REDUCED-REFERENCE VIDEO QUALITY ASSESSMENTKai Zeng, Zhou Wang, University of Waterloo, Canada

IVMSP-P3.8: INTERACTIVE TONE MAPPING FOR HIGH DYNAMIC RANGE VIDEO ........................................... 1014Zhe Wang, Jiefu Zhai, Tao Zhang, Joan Llach, Thomson Inc., United States

IVMSP-P3.10: REAL TIME TRACKING OF EXTERIOR AND INTERIOR ORGAN SURFACES ............................. 1022USING SPARSE SAMPLING OF THE EXTERIOR SURFACESDan Wang, Yingchun Zhang, Ahmed Tewfik, University of Minnesota, United States

IVMSP-P3.11: HIGH QUALITY COLOR CALIBRATION FOR MULTI-CAMERA SYSTEMS .................................. 1026WITH AN OMNIDIRECTIONAL COLOR CHECKER Kun Li, Qionghai Dai, Wenli Xu, Tsinghua University, China

IVMSP-P3.12: AUTOMATIC DETECTION OF WELL SAMPLED IMAGES VIA A NEW .......................................... 1030RINGING MEASUREGwendoline Blanchet, Centre National d’Etudes Spatiales, France; Lionel Moisan, Universite Paris Descartes, France; Bernard Rougé, Ecole Normale Superieure de Cachan, France

IVMSP-P3.13: TRAINING-BASED DEMOSAICING ............................................................................................................ 1034Hasib Siddiqui, Hau Hwang, Qualcomm Incorporated, United States

IVMSP-P3.14: ROBUST GENERATION OF HIGH DYNAMIC RANGE IMAGES ......................................................... 1038Zhengguo Li, Zijian Zhu, Shoulie Xie, Shiqian Wu, Susanto Rahardja, Institute for Infocomm Research, Singapore

IVMSP-P4: IMAGE SEGMENTATION

IVMSP-P4.1: MULTISCALE SEGMENTATION FOR MRC DOCUMENT COMPRESSION ...................................... 1042USING A MARKOV RANDOM FIELD MODELEri Haneda, Charles Bouman, Purdue university, United States

IVMSP-P4.3: A LOW COMPLEXITY METHOD FOR DETECTION OF TEXT AREA IN .......................................... 1050NATURAL IMAGESKatherine L. Bouman, University of Michigan, United States; Golnaz Abdollahian, Mireille Boutin, Edward Delp, Purdue University, United States

IVMSP-P4.4: FAST SEMI-SUPERVISED IMAGE SEGMENTATION BY NOVELTY .................................................. 1054SELECTIONAntonio Paiva, Tolga Tasdizen, University of Utah, United States

IVMSP-P4.5: IMPROVING IMAGE SEGMENTATION VIA SHAPE PCA RECONSTRUCTION ............................... 1058Hui Wang, Hong Zhang, University of Alberta, Canada

IVMSP-P4.6: A ROBUST MORPHOLOGICAL GRADIENT ESTIMATOR AND EDGE .............................................. 1062DETECTOR FOR COLOR IMAGESEhsan Nezhadarya, Rabab K. Ward, University of British Columbia, Canada

IVMSP-P4.8: COMPLEXITY-BASED BORDER DETECTION FOR TEXTURED IMAGES ........................................ 1070Tomas Crivelli, University of Buenos Aires, Argentina; Agustin Mailing, Bruno Cernuschi-Frias, University of Buenos Aires and Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

IVMSP-P4.9: ON SAND RIPPLE DETECTION IN SYNTHETIC APERTURE SONAR ................................................ 1074IMAGERYDavid Williams, Enrique Coiras, NATO Undersea Research Centre, Italy

IVMSP-P4.10: IMPROVED MULTI ANGLED PARALLELISM FOR SEPARATION OF TEXT ................................ 1078FROM INTERSECTING LINEAR FEATURES IN SCANNED TOPOGRAPHIC MAPSAria Pezeshk, Richard Tutwiler, Pennsylvania State University, United States

IVMSP-P5: FEATURE EXTRACTION AND ANALYSIS III

IVMSP-P5.1: BODY SETS AND LINES: A RELIABLE REPRESENTATION OF IMAGES .......................................... 1082Michèle Gouiffès, Bertrand Zavidovique, IEF University of Paris 11, France

IVMSP-P5.2: SIGMA: SPATIAL INTEGRATED MATCHING ASSOCIATION ALGORITHM FOR ........................ 1086LOGO DETECTIONPengfei Xu, Hongxun Yao, Rongrong Ji, Harbin Institute of Technology, China

IVMSP-P5.3: AN EFFICIENT METHOD TO GENERATE GROUND TRUTH FOR ..................................................... 1090EVALUATING LANE DETECTION SYSTEMSAmol Borkar, Monson Hayes, Georgia Institute of Technology, United States; Mark Smith, KTH - Royal Institute of Technology, Sweden

IVMSP-P5.4: SINGULAR POINT DETECTION USING DISCRETE HODGE HELMHOLTZ .................................... 1094DECOMPOSITION IN FINGERPRINT IMAGESHengzhen Gao, Mrinal Mandal, Gencheng Guo, University of Alberta, Canada; Jianwei Wan, National University of Defence Technology, China

IVMSP-P5.5: WAVELET MAXIMA BASED LACUNARITY TEXTURE ANALYSIS .................................................... 1098Alexandru Bogdan, Electro Optical Sciences, United States

IVMSP-P5.6: FACILITATING MOTION-BASED VISION APPLICATIONS BY COMBINED .................................... 1102VIDEO ANALYSIS AND CODINGThilini Rajakaruna, Anil Fernando, Janko Calic, I-Lab, Centre for Communication Systems Research, United Kingdom

IVMSP-P5.7: FEATURE EXTRACTION METHOD FOR VIDEO BASED HUMAN ACTION ..................................... 1106RECOGNITIONS: EXTENDED OPTICAL FLOW ALGORITHMAshok Ramadass, Myunghoon Suk, Balakrishnan Prabhakaran, University of Texas at Dallas, United States

IVMSP-P5.8: ACTION CHANGE DETECTION IN VIDEO BY COVARIANCE MATCHING OF .............................. 1110SILHOUETTE TUNNELSKai Guo, Prakash Ishwar, Janusz Konrad, Boston University, United States

IVMSP-P5.9: A BEMD BASED NORMALIZATION METHOD FOR FACE RECOGNITION ..................................... 1114UNDER VARIABLE ILLUMINATIONSMing Shao, Yunhong Wang, Xue Ling, Beihang University, China

IVMSP-P5.10: CONTOURLET STRUCTURAL SIMILARITY FOR FACIAL EXPRESSION ...................................... 1118RECOGNITIONSeyed Mehdi Lajevardi, Zahir Hussain, RMIT University, Australia

IVMSP-P5.11: INFORMATION THEORETICAL BASED FEATURE SELECTION APPROACH .............................. 1122FOR HUMAN SKIN DETECTIONKamal Chenaoua, King Fahd University of Petroleum & Minerals, Saudi Arabia; Ahmed Bouridane, Queen’s University Belfast, United Kingdom

IVMSP-P5.13: VIEW AND SCALE INSENSITIVE ACTION REPRESENTATION AND .............................................. 1130RECOGNITIONYuanyuan Cao, Feiyue Huang, Linmi Tao, Guangyou Xu, Tsinghua University, China

IVMSP-P5.14: 3D FACE RECOGNITION BASED ON EVOLUTION OF ISO-GEODESIC .......................................... 1134DISTANCE CURVESShun Miao, Hamid Krim, North Carolina State University, United States

IVMSP-P6: VIDEO SEGMENTATION, MOTION ANALYSIS, AND TRACKING

IVMSP-P6.1: MOTION-BASED VIDEO SEGMENTATION WITH BOUNDARY .......................................................... 1138REFINEMENTAndrew Patti, Hewlett Packard, United States

IVMSP-P6.2: A IMPROVED SILHOUETTE TRACKING APPROACH INTEGRATING ............................................. 1142PARTICLE FILTER WITH GRAPH CUTSLili Ma, Jing Liu, Jinqiao Wang, Jian Cheng, Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, China

IVMSP-P6.3: ROBUST CODEBOOK-BASED VIDEO BACKGROUND SUBTRACTION ............................................. 1146Amit Pal, Indian Institute of Technology, India; Gerald Schaefer, Loughborough University, United Kingdom; M. Emre Celebi, Louisiana State University in Shreveport, United States

IVMSP-P6.4: ROBUST VISUAL TRACKING USING FEATURE-BASED VISUAL ATTENTION .............................. 1150Shengping Zhang, Hongxun Yao, Shaohui Liu, Harbin Institute of Technology, China

IVMSP-P6.5: MULTI-OBJECT FILTERING FROM IMAGE SEQUENCE WITHOUT ................................................ 1154DETECTIONReza Hoseinnezhad, Ba-Ngu Vo, University of Melbourne, Australia; David Suter, University of Adelaide, Australia; Ba-Tuong Vo, University of Western Australia, Australia

IVMSP-P6.6: VISUAL LOCALIZATION AND SEGMENTATION BASED ON .............................................................. 1158FOREGROUND/BACKGROUND MODELINGHanzi Wang, Tat-Jun Chin, David Suter, University of Adelaide, Australia

IVMSP-P6.7: LIP TRACKING USING ADAPTIVE FUZZY PARTICLE FILTER IN THE .......................................... 1162CONTEXT OF CAR DRIVING SIMULATOR UNDER LOW CONTRAST NEAR-INFRARED ILLUMINATIONParisa Darvish Zadeh Varcheie, Langis Gagnon, CRIM, Canada

IVMSP-P6.8: A MEAN SHIFT ALGORITHM BASED ON MODIFIED PARZEN WINDOW FOR ............................. 1166SMALL TARGET TRACKINGJianjun Chen, Southeast University, China; Guocheng An, Institute of Software, Chinese Academy of Sciences, China; Suofei Zhang, Zhenyang Wu, Southeast University, China

IVMSP-P6.9: REALIZATION OF A NEW ANTI-ALIASING METHOD FOR LINEAR FILTER ................................ 1170BASED OBJECT DETECTION IN VIDEO SCENESSam Schauland, Joerg Velten, Kummert Anton, University of Wuppertal, Germany

IVMSP-P6.10: A MOTION ESTIMATION ALGORITHM BASED ON MARKOV CHAIN MODEL ........................... 1174Zhijie Zhao, Harbin University of Commerce, China; Zhimin Cao, Maoliu Lin, Xuesong Jin, Harbin Institute of Technology, China

IVMSP-P6.11: A JOINT OPTICAL FLOW AND PRINCIPAL COMPONENT ANALYSIS .......................................... 1178APPROACH FOR MOTION DETECTION Kui Liu, He Yang, Ben Ma, Qian Du, Mississippi State University, United States

IVMSP-P6.12: ROBUST BACKGROUND MODELING VIA STANDARD VARIANCE FEATURE ............................. 1182Bineng Zhong, Hongxun Yao, Shaohui Liu, Harbin Institute of Technology, China

IVMSP-P6.13: MOTION ESTIMATION WITH 3-D INFINITE FREQUENCY RESOLUTION .................................... 1186ANALYSISTakaaki Ueda, Shigeki Hirobayashi, University of Toyama, Japan

IVMSP-P6.14: FAST EXHAUSTIVE-SEARCH MOTION ESTIMATION BASED ON .................................................. 1190ACCELERATED MULTILEVEL SUCCESSIVE ELIMINATION ALGORITHM WITH MULTIPLE PASSESJing Cai, W. David Pan, University of Alabama in Huntsville, United States

IVMSP-P7: IMAGE FORMATION AND MODELING

IVMSP-P7.2: MAXIMUM-LIKELIHOOD ESTIMATION OF THE POLARIZATION DEGREE ................................ 1198FROM TWO MULTI-LOOK INTENSITY IMAGESReza Shirvany, Marie Chabert, University of Toulouse, France; Florent Chatelain, University of Grenoble, France; Jean-Yves Tourneret, University of Toulouse, France

IVMSP-P7.3: A ROBUST MINIMUM VOLUME ENCLOSING SIMPLEX ALGORITHM FOR .................................. 1202HYPERSPECTRAL UNMIXINGArulMurugan Ambikapathi, Tsung-Han Chan, National Tsing Hua University, Taiwan; Wing-Kin Ma, Chinese University of Hong Kong, Hong Kong SAR of China; Chong-Yung Chi, National Tsing Hua University, Taiwan

IVMSP-P7.4: JOINT SPARSITY-DRIVEN INVERSION AND MODEL ERROR ............................................................ 1206CORRECTION FOR RADAR IMAGINGN. Özben Önhon, Müjdat Çetin, Sabanci University, Turkey

IVMSP-P7.5: ACCURATE & EFFICIENT WAVEFIELD EXTRAPOLATORS USING IIR F-X .................................. 1210FILTERSWail Mousa, King Fahd University of Petroleum & Minerals, Saudi Arabia

IVMSP-P7.6: RECONSTRUCTION ALGORITHM FOR HIGH CONTRAST VELOCITY ........................................... 1214TRAVEL TIME TOMOGRAPHYYenting Lin, Antonio Ortega, University of Southern California, United States

IVMSP-P7.8: A REVERSIBLE-JUMP MCMC ALGORITHM FOR ESTIMATING THE ............................................. 1222NUMBER OF ENDMEMBERS IN THE NORMAL COMPOSITIONAL MODEL. APPLICATION TO THE UNMIXING OF HYPERSPECTRAL IMAGES.Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France

IVMSP-P7.9: BAYESIAN COMPRESSED SENSING IMAGING USING A GAUSSIAN SCALE ................................. 1226MIXTUREGeorge Tzagkarakis, Panagiotis Tsakalides, University of Crete & Foundation for Research and Technology-Hellas, Greece

IVMSP-P7.11: SPARSE LINEAR REGRESSION WITH BETA PROCESS PRIORS ....................................................... 1234Bo Chen, John Paisley, Lawrence Carin, Duke University, United States

IVMSP-P8: IMAGE/VIDEO SEMANTIC UNDERSTANDING

IVMSP-P8.1: FAST AND ROBUST SPATIAL MATCHING FOR OBJECT RETRIEVAL ............................................. 1238Wenying Wang, Dongming Zhang, Yongdong Zhang, Jintao Li, Institute of Computing Technology, Chinese Academy of Sciences, China

IVMSP-P8.2: SEARCHING WITH EXPECTATIONS .......................................................................................................... 1242Harsimrat Sandhawalia, Hervé Jégou, INRIA, France

IVMSP-P8.3: INTER-QUERY SEMANTIC LEARNING APPROACH TO IMAGE RETRIEVAL ................................ 1246Scott Fechser, Ran Chang, Xiaojun Qi, Utah State University, United States

IVMSP-P8.4: THE ANGULAR ORIENTATION PARTITION EDGE DESCRIPTOR ..................................................... 1250Antonio Pinheiro, Universidade da Beira Interior, Portugal

IVMSP-P8.6: ECCH: A NOVEL COLOR COOCURRENCE HISTOGRAM ..................................................................... 1258Wenjing Jia, Xiangjian He, Qiang Wu, University of Technology, Sydney, Australia

IVMSP-P8.8: ALTERNATIVE DISTANCE/SIMILARITY MEASURES FOR REDUCED ............................................ 1266ORDERING BASED NONLINEAR VECTOR FILTERSM. Emre Celebi, Louisiana State University in Shreveport, United States

IVMSP-P8.9: CROSS-DATABASE AGE ESTIMATION BASED ON TRANSFER LEARNING .................................... 1270Ya Su, Xidian University, China; Yun Fu, University at Buffalo (SUNY), United States; Qi Tian, University of Texas at San Antonio, United States; Xinbo Gao, Xidian University, China

IVMSP-P9: IMAGE CODING

IVMSP-P9.1: AN FPGA-BASED FAST TWO-SYMBOL PROCESSING ARCHITECTURE FOR ............................... 1282JPEG 2000 ARITHMETIC CODINGNandini Kumar, Wei Xiang, University of Southern Queensland, Australia; Yafeng Wang, Beijing University of Posts and Telecommunications, China

IVMSP-P9.2: LOCAL STRUCTURE LEARNING AND PREDICTION FOR EFFICIENT ............................................ 1286LOSSLESS IMAGE COMPRESSIONXiwen Zhao, Zhihai He, University of Missouri, United States

IVMSP-P9.3: SPARSE OPTIMIZATION WITH DIRECTIONAL DCT BASES FOR IMAGE ...................................... 1290COMPRESSIONAngélique Drémeau, Cédric Herzet, Christine Guillemot, Jean-Jacques Fuchs, INRIA Centre Rennes-Bretagne Atlantique, France

IVMSP-P9.4: A COMPRESSIVE SENSING IMAGE COMPRESSION ALGORITHM USING ..................................... 1294QUANTIZED DCT AND NOISELET INFORMATIONZhuoyuan Chen, Jiangtao Wen, Tsinghua University, China; Yuxing Han, John Villasenor, University of California, Los Angeles, United States; Shiqiang Yang, Tsinghua University, China

IVMSP-P9.5: TWO-DIMENSIONAL NON SEPARABLE ADAPTIVE LIFTING SCHEME FOR ................................ 1298STILL AND STEREO IMAGE CODINGMounir Kaaniche, Telecom ParisTech, France; Jean. Christophe Pesquet, Université Paris-Est, France; Amel Benazza-Benyahia, SUP’COM, Tunisia; Béatrice Pesquet-Popescu, Telecom ParisTech, France

IVMSP-P9.6: NEIGHBORHOOD CODING FOR BILEVEL IMAGE COMPRESSION AND ....................................... 1302SHAPE RECOGNITIONTiago Buarque Assunção de Carvalho, Denise Jaeger Tenório, Ing Ren Tsang, George Darmiton da Cunha Cavalcanti, Federal University of Pernambuco, Brazil; Ing Jyh Tsang, Alcatel-Lucent, Belgium

IVMSP-P9.7: A NEW LIFTING STRUCTURE OF NON SEPARABLE 2D DWT WITH ............................................... 1306COMPATIBILITY TO JPEG 2000Masahiro Iwahashi, Nagaoka Univ. of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan

IVMSP-P9.8: COMPRESSIVE SENSING WITH MODIFIED TOTAL VARIATION ..................................................... 1310MINIMIZATION ALGORITHMMohammadreza Dadkhah, Shahram Shirani, M. Jamal Deen, McMaster University, Canada

IVMSP-P9.9: LOSSLESS COMPRESSION OF HYPERSPECTRAL IMAGES: LOOK-UP ........................................... 1314TABLES WITH VARYING DEGREES OF CONFIDENCEDaniel Acevedo, Ana Ruedin, Universidad de Buenos Aires, Argentina

IVMSP-P9.10: A FAST LOSSLESS COMPRESSION SCHEME FOR DIGITAL MAP IMAGES ................................. 1318USING COLOR SEPARATIONSaif Zahir, Arber Borici, University of Northern British Columbia, Canada

IVMSP-P9.11: IMAGE CODING USING CONCENTRATION AND DILUTION BASED ON ...................................... 1322SEAM CARVING WITH HIERARCHICAL SEARCHYuichi Tanaka, Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan

IVMSP-P9.12: TOWARDS LARGE SCALE DISTRIBUTED CODING ............................................................................. 1326Sharadh Ramaswamy, Kumar Viswanatha, Ankur Saxena, Kenneth Rose, University of California, Santa Barbara, United States

IVMSP-P9.13: ON QUANTIZER DESIGN FOR DISTRIBUTED SOURCE CODING OF ............................................. 1330GAUSSIAN VECTOR DATA WITH PACKET LOSSShaminda Subasingha, Monohar N. Murthi, University of Miami, United States

IVMSP-P10: IMAGE RECONSTRUCTION AND ENHANCEMENT

IVMSP-P10.1: BLIND SEPARATION METHODS BASED ON CORRELATION FOR SPARSE ................................. 1334POSSIBLY-CORRELATED IMAGESInes Meganem, CNRS, University of Toulouse, France; Yannick Deville, University of Toulouse, France; Matthieu Puigt, University for Information Technologies, The former Yugoslav Republic of Macedonia

IVMSP-P10.2: SOLVING A PROBLEM OF SOURCES SEPARATION STEMMING FROM A ................................... 1338LINEAR COMBINATION: APPLIED TO THE 3D RECONSTRUCTION OF THE SOLAR ATMOSPHEREBelkacem Kherrab, Thomas Rodet, Laboratoire des Signaux et Systèmes, France; Jérôme Idier, Institut de Recherche en Communications et Cybernétique de Nantes, France

IVMSP-P10.3: SYNTHETIC APERTURE RADAR AUTOFOCUS VIA SEMIDEFINITE .............................................. 1342RELAXATIONKuang-Hung Liu, Ami Wiesel, David Munson, University of Michigan, United States

IVMSP-P10.4: MULTICHANNEL SAR AUTOFOCUS USING MULTIPLE LOW-RETURN ....................................... 1346CONSTRAINTSHyun Jeong Cho, David Munson, University of Michigan, United States

IVMSP-P10.5: DECONVOLUTION WITH GAUSSIAN BLUR PARAMETER AND ...................................................... 1350HYPERPARAMETERS ESTIMATIONFrançois Orieux, Laboratoire des Signaux et Systèmes, France; Jean-François Giovannelli, Laboratoire de l’Intégration du Matériau au Système, France; Thomas Rodet, Laboratoire des Signaux et Systèmes, France

IVMSP-P10.7: FUNDAMENTAL LIMITS OF IMAGE DENOISING: ARE WE THERE YET? .................................... 1358Priyam Chatterjee, Peyman Milanfar, University of California, Santa Cruz, United States

IVMSP-P10.8: EDGE DETECTION AND IMAGE RESTORATION WITH ANISOTROPIC ....................................... 1362TOPOLOGICAL GRADIENTStanislas Larnier, Jérôme Fehrenbach, Université Paul Sabatier, France

IVMSP-P10.9: BAYESIAN ERROR CONCEALMENT WITH DCT PYRAMID .............................................................. 1366Guangtao Zhai, Xiaokang Yang, Shanghai Jiao Tong University, China; Weisi Lin, Nanyang Technological University, Singapore; Wenjun Zhang, Shanghai Jiao Tong University, China

IVMSP-P10.10: HALF-QUADRATIC REGULARIZATION BASED DE-NOISING FOR HIGH .................................. 1370DYNAMIC RANGE IMAGE SYNTHESISWei Yao, Zhengguo Li, Susanto Rahardja, Susu Yao, Jinghong Zheng, Institute for Infocomm Research, Singapore

IVMSP-P10.11: RELATIVE GRADIENTS FOR IMAGE LIGHTING CORRECTION ................................................... 1374Zujun Hou, Wei-Yun Yau, Institute for Infocomm Research, A*STAR, Singapore

IVMSP-P10.12: REAL-TIME CONTENT ADAPTIVE CONTRAST ENHANCEMENT FOR ....................................... 1378SEE-THROUGH FOG AND RAINZhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou Xiong, Jianwei Zhao, Alan Finn, United Technologies Research Center, China

IVMSP-P10.13: COLLABORATIVE IMAGE PROCESSING ALGORITHM FOR DETAIL ........................................ 1382REFINEMENT AND ENHANCEMENT VIA MULTI-LIGHT IMAGESJinghong Zheng, Zhengguo Li, Susanto Rahardja, Susu Yao, Wei Yao, Institute for Infocomm Research, A*STAR, Singapore

IVMSP-P10.14: A TELESCOPING APPROACH TO RECURSIVE ENHANCEMENT OF NOISY .............................. 1386IMAGESDivyanshu Vats, José M. F. Moura, Carnegie Mellon University, United States

IVMSP-P11.5: DETECTION AND ENHANCEMENT OF MOVING OBJECTS IN ........................................................ 1406SURVEILLANCE CENTRIC CODINGNicola Conci, Ebroul Izquierdo, Queen Mary University of London, United Kingdom

IVMSP-P11.6: VIEW INVARIANT GAIT RECOGNITION ................................................................................................. 1410Nini Liu, Yap-Peng Tan, Nanyang Technological University, Singapore

IVMSP-P11.8: DOUBLE-SEARCH-WINDOW BLOCK MATCHING USING THE FAST ............................................ 1418FOURIER TRANSFORMZhen Li, Hitoshi Kiya, Tokyo Metropolitan University, Japan

IVMSP-P11.9: A SET OF TEMPLATE MATCHING PREDICTORS FOR INTRA VIDEO ........................................... 1422CODINGMatthieu Moinard, Isabelle Amonou, Orange Labs, France; Pierre Duhamel, Patrice Brault, Laboratoire des Signaux et Systèmes, France

IVMSP-P11.10: VIDEO-BASED FINGERPRINT VERIFICATION .................................................................................... 1426Wei Qin, Yilong Yin, Chunxiao Ren, Lili Liu, Shandong University, China

IVMSP-P11.11: 3D SHAPE ESTIMATION FROM SILHOUETTES USING MEAN-SHIFT .......................................... 1430Donghoon Kim, Jonathan Ruttle, Rozenn Dahyot, Trinity College Dublin, Ireland

IVMSP-P12: IMAGE/VIDEO PROCESSING AND CODING

IVMSP-P12.1: SWITCHING BILATERAL FILTER WITH A TEXTURE/NOISE DETECTOR ................................... 1434FOR UNIVERSAL NOISE REMOVALChih Hsing Lin, Jia Shiuan Tsai, Ching Te Chiu, National Tsing Hua University, Taiwan

IVMSP-P12.2: AN IMAGE FUSION APPROACH FOR DENOISING SIGNAL-DEPENDENT .................................... 1438NOISEMrityunjay Kumar, Rodney Miller, Eastman Kodak comapny, United States

IVMSP-P12.3: AN IMPROVED SLICE GROUPING METHOD FOR ERROR RESILIENCE ...................................... 1442IN H.264/AVCKeyu Tan, Alan Pearmain, Queen Mary University of London, United Kingdom

IVMSP-P12.4: IMAGE DENOISING BASED ON TRANSLATION INVARIANT DIRECTIONAL ............................. 1446LIFTINGXiaotian Wang, Guangming Shi, Lili Liang, Xidian University, China

IVMSP-P12.5: SEAMLETS: CONTENT-AWARE NONLINEAR WAVELET TRANSFORM ....................................... 1450David Conger, Hayder Radha, Michigan State University, United States; Mrityunjay Kumar, Eastman Kodak Company, United States

IVMSP-P11: VIDEO/MULTIVIEW PROCESSING

IVMSP-P12.7: A LOSSLESS CONDITION OF LIFTING DWT FOR SPECIFIC DC VALUES ..................................... 1458Masahiro Iwahashi, Nagaoka Univ. of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan

IVMSP-P12.8: AN ADAPTIVE REAL-TIME DESCREENING METHOD BASED ON SVM AND .............................. 1462IMPROVED SUSAN FILTERXiaohua Duan, Guifeng Zheng, Hongyang Chao, Sun Yat-sen University, China

IVMSP-P12.9: EFFICIENT LAPLACIAN FEATURE MAP PYRAMIDS IN A HEXAGONAL ..................................... 1466FRAMEWORKSonya Coleman, Bryan Scotney, Bryan Gardiner, University of Ulster, United Kingdom

DISPS-L1: EFFICIENT IMPLEMENTATIONS FOR AUDIO SIGNAL PROCESSING AND TRANSFORM COMPUTATIONS

DISPS-L1.1: MICROPHONE ARRAY NETWORK FOR UBIQUITOUS SOUND ........................................................... 1474ACQUISITIONTomoya Takagi, Hiroki Noguchi, Koji Kugata, Masahiko Yoshimoto, Hiroshi Kawaguchi, Kobe University, Japan

DISPS-L1.2: DESIGN OF A HELMET-MOUNTED MICROPHONE ARRAY FOR SOUND ........................................ 1478LOCALIZATIONHyung ook Park, Alireza Dibazar, Theodore Berger, University of Southern California, United States

DISPS-L1.3: SMALL FOOTPRINT IMPLEMENTATION OF DUAL-MICROPHONE ................................................. 1482DELAY-AND-SUM BEAMFORMING FOR IN-CAR SPEECH ENHANCEMENTNgoc-Vinh Vu, Hua Ye, Jim Whittington, John Devlin, La Trobe University, Australia; Michael Mason, Queensland University of Technology, Australia

DISPS-L1.4: BANDWIDTH-INTENSIVE FPGA ARCHITECTURE FOR ........................................................................ 1486MULTI-DIMENSIONAL DFTChi-Li Yu, Chaitali Chakrabarti, Arizona State University, United States; Sungho Park, Vijaykrishnan Narayanan, Pennsylvania State University, United States

DISPS-L1.5: MEMORY ACCESS REDUCTION METHOD FOR EFFICIENT ............................................................... 1490IMPLEMENTATION OF FAST COSINE TRANSFORM PRUNING ON DSPXiangyang Liu, University of Texas at Dallas, United States

DISPS-L1.6: SOFT NMR: ANALYSIS & APPLICATION TO DSP SYSTEMS ................................................................. 1494Eric Kim, Naresh Shanbhag, University of Illinois, United States

DISPS-L2: EFFICIENT IMPLEMENTATION FOR COMMUNICATIONS

DISPS-L2.1: HARDWARE IMPLEMENTATION OF TRIPLY SELECTIVE RAYLEIGH ........................................... 1498FADING CHANNEL SIMULATORSFei Ren, Yahong Rosa Zheng, Missouri University of Science and Technology, United States

DISPS-L2.2: EFFICIENT ARCHITECTURE FOR GENERALIZED MINIMUM-DISTANCE ..................................... 1502DECODER OF REED-SOLOMON CODESJiangli Zhu, Xinmiao Zhang, Case Western Reserve University, United States

DISPS-L2.3: PARTIAL-PARALLEL DECODER ARCHITECTURE FOR QUASI-CYCLIC ........................................ 1506NON-BINARY LDPC CODESXinmiao Zhang, Fang Cai, Case Western Reserve University, United States

DISPS-L2.4: FPGA-BASED DESIGN AND IMPLEMENTATION OF THE 3GPP-LTE ................................................. 1510PHYSICAL LAYER USING PARAMETERIZED SYNCHRONOUS DATAFLOW TECHNIQUESHojin Kee, University of Maryland, College Park, United States; Ian Wong, Yong Rao, National Instruments Corp., United States; Shuvra Bhattacharyya, University of Maryland, College Park, United States

DISPS-L2.5: OPTIMIZATION OF MULTISINE EXCITATIONS FOR RECEIVER ...................................................... 1514UNDERSAMPLINGMichael Schmitz, Roger Green, North Dakota State University, United States

DISPS-L2.6: DESIGN OF SPARSE FILTERS FOR CHANNEL SHORTENING .............................................................. 1518Aditya Chopra, Brian Evans, University of Texas at Austin, United States

DISPS-P1: ANALOG AND DIGITAL SIGNAL PROCESSING SYSTEMS

DISPS-P1.1: VECTOR MATRIX MULTIPLIER ON FIELD PROGRAMMABLE ANALOG ....................................... 1522ARRAYCraig Schlottmann, Csaba Petre, Paul Hasler, Georgia Institute of Technology, United States

DISPS-P1.3: RATE-DISTORTION PERFORMANCE ANALYSIS OF AN ANALOG MOTION .................................. 1530ESTIMATION ARRAYLauri Koskinen, Helsinki University of Technology, Finland; Jonne Poikonen, Mika Laiho, Ari Paasio, University of Turku, Finland

DISPS-P1.4: A NOVEL TECHNIQUE FOR TUNABLE MISMATCH SHAPING IN ...................................................... 1534OVERSAMPLED DIGITAL-TO-ANALOG CONVERTERSWaqas Akram, Earl E. Swartzlander, Jr., University of Texas at Austin, United States

DISPS-P1.5: SIMULATING DYNAMIC COMMUNICATION SYSTEMS USING THE CORE .................................... 1538FUNCTIONAL DATAFLOW MODELNimish Sane, University of Maryland, College Park, United States; Chia-Jui Hsu, Jose Luis Pino, Agilent Technologies, Inc., United States; Shuvra S. Bhattacharyya, University of Maryland, College Park, United States

DISPS-P1.6: IMPLEMENTING LNS USING FILTERING UNITS OF GPUS ................................................................... 1542Mark Arnold, Lehigh University, United States; Sylvain Collange, David Defour, Université de Perpignan, France

DISPS-P1.7: HARDWARE IMPLEMENTATION OF THE DISCRETE FOURIER TRANSFORM ............................. 1546WITH NON-POWER-OF-TWO PROBLEM SIZEPeter A. Milder, Franz Franchetti, James C. Hoe, Markus Pueschel, Carnegie Mellon University, United States

DISPS-P1.8: MULTI-CORE AND SIMD ARCHITECTURE BASED IMPLEMENTATION OF ................................... 1550RECURSIVE DIGITAL FILTERING ALGORITHMSDong-hwan Lee, Wonyong Sung, Seoul National University, Republic of Korea

DISPS-P1.9: ANALYTICAL APPROACH FOR ANALYZING QUANTIZATION NOISE EFFECTS ......................... 1554ON DECISION OPERATORSKarthick Parashar, Romuald Rocher, Daniel Menard, Olivier Sentieys, University of Rennes-1, France

DISPS-P1.10: CLUSTER BASED ARCHITECTURE SYNTHESIS MINIMIZING THE ................................................ 1558RESOURCES UNDER TIME CONSTRAINTXiyang Liu, Ailong Song, Xidian university, China; Zili Shao, Hong Kong Polytechnic University, Hong Kong SAR of China; Chunxiang Li, Ke Chen, Wei Wang, Xidian university, China

DISPS-P1.11: A MATRIX APPROACH FOR TRANSCODING MODULATED LAPPED ............................................. 1562TRANSFORMSMohamed Mansour, Texas Instuments Inc., United States

DISPS-P2: IMPLEMENTATION OF SPEECH AND MULTIMEDIA COMMUNICATION APPLICATIONS

DISPS-P2.1: A SCALABLE H.264/AVC DEBLOCKING FILTER ARCHITECTURE USING ...................................... 1566DYNAMIC PARTIAL RECONFIGURATIONRakan Khraisha, Jooheung Lee, University of Central Florida, United States

DISPS-P2.2: FAST GPU IMPLEMENTATION OF LARGE SCALE DICTIONARY AND SPARSE ............................ 1570REPRESENTATION BASED VISION PROBLEMSPradeep Nagesh, Rahul Gowda, Baoxin Li, Arizona State University, United States

DISPS-P2.3: HIGH-SPEED ARCHITECTURE FOR IMAGE RECONSTRUCTION BASED ON ................................ 1574COMPRESSIVE SENSINGYang Chen, Xinmiao Zhang, Case Western Reserve University, United States

DISPS-P2.4: THE GENTLE SPHERICAL PANORAMA IMAGE CONSTRUCTION FOR THE ................................. 1578WEB NAVIGATION SYSTEMMin-Jen Tsai, Chi-Long Kao, Jung Liu, National Chiao Tung University, Taiwan

DISPS-P2.5: FIR FILTER IMPLEMENTATION THROUGH SPECULATIVE ............................................................... 1582SUB-EXPRESSION SHARING IN IMAGE DATAMuhammad Bilal, Shahid Masud, Lahore University of Management Sciences, Pakistan

DISPS-P2.6: CYCLE EFFICIENT SCRAMBLER IMPLEMENTATION FOR SOFTWARE ........................................ 1586DEFINED RADIOJui-Chieh Lin, Ming-Jung Fan-Chiang, Minja Hsieh, Song-Yen Mao, Sao-Jie Chen, National Taiwan University, Taiwan; Yu Hen Hu, University of Wisconsin-Madison, United States

DISPS-P2.7: ENERGY-AWARE ADAPTIVE OFDM SYSTEMS......................................................................................... 1590Yunus Emre, Chaitali Chakrabarti, Arizona State University, United States

DISPS-P2.8: STATIC ADDRESS GENERATION EASING: A DESIGN METHODOLOGY FOR ................................ 1594PARALLEL INTERLEAVER ARCHITECTURESCyrille Chavet, Philippe Coussy, Lab-STICC laboratory, France; Pascal Urard, STMicroelectronics, France; Eric Martin, Lab-STICC, France

DISPS-P2.9: AN OPTIMIZED DIGITAL FREQUENCY SYNTHESIZER ......................................................................... 1598Mohamed Mansour, Texas Instuments Inc., United States

DISPS-P2.10: AN FPGA IMPLEMENTATION OF SPEECH RECOGNITION WITH ................................................... 1602WEIGHTED FINITE STATE TRANSDUCERSJungwook Choi, Kisun You, Wonyong Sung, Seoul National University, Republic of Korea

ITT-L1: REAL-TIME DSP/SPEECH SYSTEMS

ITT-L1.1: NOVEL CI-BACKOFF SCHEME FOR REAL-TIME EMBEDDED SPEECH ............................................... 1614RECOGNITIONTao Ma, Mississippi State University, United States; Michael Deisher, Intel Corporation, United States

ITT-L1.2: A PSYCHOACOUSTIC SPECTRAL SUBTRACTION METHOD FOR NOISE ............................................ 1618SUPPRESSION IN AUTOMATIC SPEECH RECOGNITIONSerajul Haque, Roberto Togneri, University of Western Australia, Australia

ITT-L1.3: AUTOMATIC SYNCHRONIZATION OF LIVE SPEECH AND ITS TRANSCRIPTS ................................. 1622BASED ON A FRAME-SYNCHRONOUS LIKELIHOOD RATIO TESTJie Gao, Qingwei Zhao, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China

ITT-L1.4: ACCELERATION OF SEQUENCE KERNEL COMPUTATION FOR REAL-TIME ................................... 1626SPEAKER IDENTIFICATIONMakoto Yamada, Colorado State University, Japan; Masashi Sugiyama, Tokyo Institute of Technology, Japan; Gordon Wichern, Arizona State University, United States; Tomoko Matsui, Institute of Statistical Mathematics, Japan

ITT-L1.5: ADAPTIVE NOISE POWER SPECTRUM ESTIMATION FOR COMPACT DUAL .................................... 1630CHANNEL SPEECH ENHANCEMENTSo-Young Jeong, Kyuhong Kim, Jae-Hoon Jeong, Kwang-Cheol Oh, Jeongsu Kim, Samsung Electronics, Republic of Korea

ITT-L1.6: IMPLEMENTATION OF BLIND SOURCE SEPARATION AND A ............................................................... 1634POST-PROCESSING ALGORITHM FOR NOISE SUPPRESSION IN CELL-PHONE APPLICATIONSDevangi Parikh, Georgia Institute of Technology, United States; Muhammad Ikram, Texas Instruments, United States; David Anderson, Georgia Institute of Technology, United States

ITT-P1: INDUSTRIAL APPLICATIONS OF DSP

ITT-P1.1: PIXEL-BASED HIERARCHICAL-FEATURE FACE DETECTION ................................................................ 1638Jing-Ming Guo, Min-Feng Wu, National Taiwan University of Science and Technology, Taiwan

ITT-P1.2: AUTOMATIC CREATION OF FACE COMPOSITE IMAGES FOR CONSUMER ...................................... 1642APPLICATIONSSuk Hwan Lim, Qian Lin, Adam Petruszka, Hewlett-Packard Laboratories, United States

ITT-P1.3: DESIGN OF A COOPERATIVE VIDEO/IMAGE MULTI-DECODING SYSTEM ON ................................ 1646A DSPKiwon Sohn, Hantak Kwak, Samsung Electronics Company, Republic of Korea

ITT-P1.4: ROBUST AUTOMATIC VOID DETECTION IN SOLDER BALLS ................................................................. 1650Asaad Said, Arizona State University, United States; Bonnie Bennett, Intel Corporation, United States; Lina Karam, Arizona State University, United States; Jeffrey Pettinato, Intel Corporation, United States

ITT-P1.5: A STREAMING APPROACH TO RADIO ASTRONOMY IMAGING ............................................................. 1654Alain Biem, IBM T. J. Watson Research Center, United States; Bruce Elmegreen, Olivier Verscheure, Deepak Deepak, Henrique Andrade, IBM, United States; Tim Cornwell, CSIRO, Australia

ITT-P1.6: DETECTION AND TRACKING OF THREATS IN AERIAL INFRARED IMAGES BY A ......................... 1658MINIMAL PATH APPROACHGilles Aubert, Alexis Baudour, Nice University, France; Laure Blanc-Féraud, CNRS, France; Laurence Guillot, Nice University, France; Yann Le Guilloux, SAGEM DS, France

ITT-P1.7: BUFFER MANAGEMENT FOR MULTI-APPLICATION IMAGE PROCESSING ON ............................... 1662MULTI-CORE PLATFORMS: ANALYSIS AND CASE STUDYDong-Ik Ko, Nara Won, Texas Instruments, United States; Shuvra Bhattacharyya, University of Maryland, College Park, United States

ITT-P1.8: A ROBUST FALL DETECTION SYSTEM FOR THE ELDERLY IN A SMART .......................................... 1666ROOMMiao Yu, Syed Naqvi, Jonathon Chambers, Loughborough University, United Kingdom

ITT-P1.9: REAL-TIME IMPLEMENTATION OF WAVELET-BASED ADVANCED .................................................... 1670COMBINATION ENCODER ON PDA PLATFORMS FOR COCHLEAR IMPLANT STUDIESVanishree Gopalakrishna, Nasser Kehtarnavaz, Philip Loizou, University of Texas at Dallas, United States

ITT-P1.10: INVARIANT DESCRIPTORS OF SONAR TEXTURES FROM SPATIAL STATISTICS .......................... 1674OF LOCAL FEATURESHuu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher, Institut Telecom / Telecom Bretagne / LabSTICC, France

ITT-P1.11: SCORE NORMALIZATION IN PLAYBACK ATTACK DETECTION ......................................................... 1678Wei Shang, Maryhelen Stevenson, University Of New brunswick, Canada

ITT-P1.12: VOC GAS LEAK DETECTION USING PYRO-ELECTRIC INFRARED SENSORS................................... 1682Fatih Erden, Bilkent University, Turkey; E. Birey Soyer, ASELSAN Inc. Ankara, Turkey; B. Ugur Toreyin, University of Minnesota, Turkey; A. Enis Çetin, Bilkent University, Turkey

ITT-P1.13: STEP-FREQUENCY RADAR WITH COMPRESSIVE SAMPLING (SFR-CS)............................................. 1686Sagar Shah, Yao Yu, Athina Petropulu, Drexel University, United States

IFS-L1: FORENSICS

IFS-L1.1: FORENSICS AIDED STEGANALYSIS OF HETEROGENEOUS IMAGES .................................................... 1690Mauro Barni, Giacomo Cancelli, Annalisa Esposito, University of Siena, Italy

IFS-L1.2: ANTI-FORENSICS OF JPEG COMPRESSION ................................................................................................... 1694Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, K. J. Ray Liu, University of Maryland, College Park, United States

IFS-L1.3: FORENSIC ESTIMATION AND RECONSTRUCTION OF A CONTRAST ................................................... 1698ENHANCEMENT MAPPINGMatthew C. Stamm, K. J. Ray Liu, University of Maryland, College Park, United States

IFS-L1.4: GEOMETRIC TAMPERING ESTIMATION BY MEANS OF A SIFT-BASED .............................................. 1702FORENSIC ANALYSISIrene Amerini, Lamberto Ballan, Roberto Caldelli, Alberto Del Bimbo, Giuseppe Serra, University of Florence, Italy

IFS-L1.5: DETECTING IMAGE REGION DUPLICATION USING SIFT FEATURES .................................................. 1706Xunyu Pan, Siwei Lyu, SUNY Albany, United States

IFS-L1.6: AUDIO FORENSICS FROM ACOUSTIC REVERBERATION ......................................................................... 1710Hafiz Malik, University of Michigan, Dearborn, United States; Hany Farid, Dartmouth College, United States

IFS-L2: BIOMETRICS

IFS-L2.1: FEATURE INTEGRATION FOR HEART SOUND BIOMETRICS .................................................................. 1714Dat Tran Huy, Yi Ren Leng, Haizhou Li, Institute for Infocomm Research, Singapore

IFS-L2.2: GAIT-BASED HUMAN AGE ESTIMATION ........................................................................................................ 1718Jiwen Lu, Yap-Peng Tan, Nanyang Technological University, Singapore

IFS-L2.3: PRIVACY-SECURITY TRADEOFFS IN REUSABLE BIOMETRIC SECURITY ......................................... 1722SYSTEMSLifeng Lai, University of Arkansas at Little Rock, United States; Siu-Wai Ho, University of South Australia, Australia; H. Vincent Poor, Princeton University, United States

IFS-L2.4: GAIT RECOGNITION FOR RANDOM WALKING PATTERNS AND VARIABLE .................................... 1726BODY POSTURESXiaxi Huang, Nikolaos Boulgouris, King’s College London, United Kingdom

IFS-L2.5: BIOMETRIC TEMPLATE SECURITY USING HIGHER ORDER SPECTRA ............................................... 1730Brenden Chen, Vinod Chandran, Queensland University of Technology, Australia

IFS-L2.6: SIGNAL VALIDATION FOR CARDIAC BIOMETRICS .................................................................................. 1734Foteini Agrafioti, Dimitrios Hatzinakos, University of Toronto, Canada

IFS-L3: WATERMARKING AND DATA EMBEDDDING

IFS-L3.1: RATIONAL DITHER MODULATION USING LOGARITHMIC QUANTIZATION .................................... 1738WITH OPTIMUM PARAMETERNima Khademi Kalantari, Seyed Mohammad Ahadi, Amirkabir University of Technology, Iran

IFS-L3.2: APPLYING SPREAD TRANSFORM DITHER MODULATION FOR 3D-MESH .......................................... 1742WATERMARKING BY USING PERCEPTUAL MODELSRony Darazi, Roland Hu, Benoit Macq, Université catholique de Louvain UCL, Belgium

IFS-L3.3: A SOLUTION TO GAIN ATTACK ON WATERMARKING SYSTEMS: ....................................................... 1746LOGARITHMIC HOMOGENEOUS RATIONAL DITHER MODULATIONMohammad Ali Akhaee, Arash Amini, Ghaffar Ghorbani, Farokh Marvasti, Advanced Communication Research Institute, Iran

IFS-L3.4: A HOST REJECTED SPREAD SPECTRUM EMBEDDING SCHEME FOR DATA ..................................... 1750HIDINGAmir Valizadeh, Z. Jane Wang, University of British Columbia, Canada

IFS-L3.6: A NOVEL WATERMARKING SCHEME WITH COMPENSATION IN BIT-STREAM .............................. 1758DOMAIN FOR H.264/AVCZhang Liwei, Zhu Yuesheng, Peking University, China; Po Lai-Man, City University of Hong Kong, China

IFS-P1: DATA EMBEDDING AND FORENSICS ANALYSIS

IFS-P1.1: A CONTENT-ADAPTIVE APPROACH FOR REDUCING EMBEDDING IMPACT IN ............................... 1762STEGANOGRAPHYChao Wang, Xiaolong Li, Bin Yang, Xiaoqing Lu, Chengcheng Liu, Peking University, China

IFS-P1.2: ON THE SHANNON CAPACITY OF DNA DATA EMBEDDING ..................................................................... 1766Félix Balado, University College Dublin, Ireland

IFS-P1.3: TOWARDS OBJECTIFYING INFORMATION HIDING ................................................................................... 1770Abbas Cheddad, Joan Condell, Kevin Curran, Paul Mc Kevitt, University of Ulster, United Kingdom

IFS-P1.4: DEVELOPMENT OF DIGITAL WATERMARKING APPLICATION TECHNOLOGIES .......................... 1774FOR NEWSPAPERSRyu Ebisawa, Takaaki Yamada, Hitachi, Japan

IFS-P1.5: IMPROVEMENT OF POWER ANALYSIS ATTACKS USING KALMAN FILTER ...................................... 1778Youssef Souissi, Sylvain Guilley, Jean-Luc Danger, Sami Mekki, Guillaume Duc, Institut Telecom/Telecom ParisTech, France

IFS-P1.6: HIDING INFORMATION INSIDE STRUCTURED SHAPES ............................................................................ 1782Samarjit Das, Iowa State University, United States; Shantanu Rane, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States

IFS-P1.7: ADAPTIVE VIDEO FINGERPRINTS FOR ACCURATE TEMPORAL REGISTRATION ........................... 1786Severine Baudry, Bertrand Chupeau, Frederic Lefebvre, Thomson R&D, France

IFS-P1.8: IDENTIFICATION OF RECAPTURED PHOTOGRAPHS ON LCD SCREENS ............................................. 1790Hong Cao, Alex C. Kot, Nanyang Technological University, Singapore

IFS-P1.9: HIGH-RESOLUTION GLYPH-INSPECTION BASED SECURITY SYSTEM ................................................ 1794Steven Simske, Guy Adams, Hewlett-Packard Laboratories, United States

IFS-P1.10: REVISITING THE SECURITY OF SPEAKER VERIFICATION SYSTEMS ............................................... 1798AGAINST IMPOSTURE USING SYNTHETIC SPEECHPhillip De Leon, Vijendra Raj Apsingekar, New Mexico State University, United States; Michael Pucher, Telecommunications Research Center Vienna (ftw.), Austria; Junichi Yamagishi, University of Edinburgh, United Kingdom

IFS-P1.11: SECURITY AND EFFICIENCY ANALYSIS OF PROGRESSIVE AUDIO ................................................... 1802SCRAMBLING IN COMPRESSED DOMAINJiantao Zhou, Oscar Au, Hong Kong University of Science and Technology, Hong Kong SAR of China

IFS-P1.12: AUTOMATIC ACQUISITION DEVICE IDENTIFICATION FROM SPEECH ............................................ 1806RECORDINGSDaniel Garcia-Romero, Carol Espy-Wilson, University of Maryland, College Park, United States

IFS-P2: BIOMETRICS AND SECURITY METHODS

IFS-P2.1: A SCALABLE BLOCK CIPHER DESIGN USING FILTER BANKS OVER FINITE .................................... 1810FIELDSSaleh Saraireh, Mohammed Benaissa, University of Sheffield, United Kingdom

IFS-P2.2: EFFECTS OF EQUIPMENT VARIATION ON SPEAKER RECOGNITION ERROR .................................. 1814RATESClark Shaver, John Acken, Oklahoma State University, United States

IFS-P2.3: TRACKING ENCRYPTED VOIP CALLS VIA ROBUST HASHING OF NETWORK ................................. 1818FLOWSBaris Coskun, Nasir Memon, Polytechnic Institute of New York University, United States

IFS-P2.4: HALFTONE VISUAL CRYPTOGRAPHY BY ITERATIVE HALFTONING .................................................. 1822Zhongmin Wang, Gonzalo R. Arce, University of Delaware, United States

IFS-P2.5: PRIVACY AND SECURITY OF FEATURES EXTRACTED FROM MINUTIAE ......................................... 1826AGGREGATESAbhishek Nagar, Michigan State University, United States; Shantanu Rane, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States

IFS-P2.6: ON THE INVERSION OF BIOMETRIC TEMPLATES BY AN EXAMPLE .................................................... 1830Vanessa Testoni, UNICAMP, Brazil; Darko Kirovski, Microsoft Research, United States

IFS-P2.8: SECTORED RANDOM PROJECTIONS FOR CANCELABLE IRIS BIOMETRICS ..................................... 1838Jaishanker K Pillai, Vishal Patel, Rama Chellappa, University Of Maryland, College Park, United States; Nalini Ratha, IBM, United States

IFS-P2.9: PERCEPTUAL VIDEO HASHING IN P2P NETWORKS ................................................................................... 1842Alper Koz, Reginald Lagendijk, Delft University of Technology, Netherlands

IFS-P2.10: ELECTROPHOTOGRAPHIC PRINTER IDENTIFICATION BY HALFTONE .......................................... 1846TEXTURE ANALYSISSeung-Jin Ryu, Korea Advanced Institute of Science and Technology, Republic of Korea; Hae-Yeoun Lee, Kumoh National Institute of Technology, Republic of Korea; Dong-Hyuck Im, Jung-Ho Choi, Heung-Kyu Lee, Korea Advanced Institute of Science and Technology, Republic of Korea

IFS-P2.11: SELECTIVE ENCRYPTION BASED DATA SECURITY FOR OGG STREAMS ......................................... 1850Fadi Almasalha, Ashfaq Khokhar, University of Illinois at Chicago, United States; Shahab Baqai, Lahore University of Managements Sciences, United States

IFS-P2.12: GRADIENT DESCENT APPROACH FOR SECURE LOCALIZATION IN ................................................. 1854RESOURCE CONSTRAINED WIRELESS SENSOR NETWORKSRavi Garg, Avinash L. Varna, Min Wu, University of Maryland, College Park, United States

MLSP-L1: PATTERN RECOGNITION AND SIGNAL DETECTION I

MLSP-L1.1: A SUPERVISORY APPROACH TO SEMI-SUPERVISED CLUSTERING ................................................. 1858Bryan Conroy, Yongxin Xi, Peter Ramadge, Princeton University, United States

MLSP-L1.2: SEMI-SUPERVISED FISHER LINEAR DISCRIMINANT (SFLD) .............................................................. 1862Seda Remus, Clarkson University, United States; Carlo Tomasi, Duke University, United States

MLSP-L1.3: SAMPLE-SEPARATION-MARGIN BASED MINIMUM CLASSIFICATION ERROR ........................... 1866TRAINING OF PATTERN CLASSIFIERS WITH QUADRATIC DISCRIMINANT FUNCTIONSYongqiang Wang, University of Hong Kong, China; Qiang Huo, Microsoft Research Asia, China

MLSP-L1.4: HIGH DIMENSIONAL REGRESSION USING THE SPARSE MATRIX ................................................... 1870TRANSFORM (SMT)Guangzhi Cao, GE Healthcare Technologies, United States; Yandong Guo, Charles Bouman, Purdue University, United States

MLSP-L1.5: CAMERA-BASED CLEAR PATH DETECTION ............................................................................................ 1874Qi Wu, Carnegie Mellon University, United States; Wende Zhang, General Motors Corporation, United States; Tsuhan Chen, Cornell University, United States; B.V.K. Vijaya Kumar, Carnegie Mellon University, United States

MLSP-L1.6: RADAR HRRP STATISTICAL RECOGNITION WITH LOCAL FACTOR ANALYSIS ........................ 1878BY AUTOMATIC BAYESIAN YING YANG HARMONY LEARNINGLei Shi, Chinese University of Hong Kong, Hong Kong SAR of China; Penghui Wang, Hongwei Liu, Xidian University, China; Lei Xu, Chinese University of Hong Kong, Hong Kong SAR of China; Zheng Bao, Xidian University, China

MLSP-L2: LEARNING THEORY AND MODELS I

MLSP-L2.1: FIXED-BUDGET KERNEL RECURSIVE LEAST-SQUARES ...................................................................... 1882Steven Van Vaerenbergh, Ignacio Santamaria, University of Cantabria, Spain; Weifeng Liu, Amazon.com, United States; Jose C. Principe, University of Florida, United States

MLSP-L2.2: FLEXIBLE ADAPTIVE FILTERING BY MINIMIZATION OF ERROR .................................................. 1886ENTROPY BOUND AND ITS APPLICATION TO SYSTEM IDENTIFICATIONXi-Lin Li, Tulay Adali, University of Maryland, Baltimore County, United States

MLSP-L2.3: CONVERGENCE ANALYSIS OF CONSENSUS-BASED DISTRIBUTED ................................................. 1890CLUSTERINGPedro A. Forero, Alfonso Cano, Georgios B. Giannakis, University of Minnesota, United States

MLSP-L2.4: SUPERVISED TOPIC MODEL FOR AUTOMATIC IMAGE ANNOTATION ........................................... 1894Duangmanee Putthividhya, University of California, San Diego, United States; Hagai Attias, Golden Metallic, Inc., United States; Srikantan Nagarajan, University of California, San Francisco, United States

MLSP-L2.5: ASYMPTOTIC ANALYSIS OF THE HUBERIZED LASSO ESTIMATOR ................................................ 1898Xiaohui Chen, Z.Jane Wang, Martin McKeown, University of British Columbia, Canada

MLSP-L2.6: A MINIMAX APPROACH TO BAYESIAN ESTIMATION WITH PARTIAL .......................................... 1902KNOWLEDGE OF THE OBSERVATION MODELTomer Michaeli, Yonina Eldar, Technion - Israel Institute of Technology, Israel

MLSP-L3: MACHINE LEARNING APPLICATIONS I

MLSP-L3.1: FINDING CHANGE POINTS IN THE POLLS ................................................................................................ 1906Albert D. Shieh, Lynette C. Lee, Harvard University, United States

MLSP-L3.2: LARGE MARGIN TRAINING OF SEMI-MARKOV MODEL FOR PHONETIC ..................................... 1910RECOGNITIONSungwoong Kim, Sungrack Yun, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea

MLSP-L3.3: LATENT-VARIABLE DECOMPOSITION BASED DEREVERBERATION OF ....................................... 1914MONAURAL AND MULTI-CHANNEL SIGNALSRita Singh, Carnegie Mellon University, United States; Bhiksha Raj, Disney Research, United States; Paris Smaragdis, Adobe Systems, Inc., United States

MLSP-L3.4: SCALED FACTORIAL HIDDEN MARKOV MODELS: A NEW TECHNIQUE FOR ............................. 1918COMPENSATING GAIN DIFFERENCES IN MODEL-BASED SINGLE CHANNEL SPEECH SEPARATIONM. Hossein Radfar, W. Wong, University of Toronto, Canada; R. M. Dansereau, Carleton University, Canada; W. Y. Chan, Queen’s University, Canada

MLSP-L3.5: INDEPENDENT SUBSPACE ANALYSIS WITH PRIOR INFORMATION FOR ..................................... 1922FMRI DATASai Ma, Xi-Lin Li, Nicolle Correa, Tulay Adali, University of Maryland, Baltimore County, United States; Vince Calhoun, The Mind Research Network and The University of New Mexico, United States

MLSP-L3.6: CLUSTERING DISJOINT SUBSPACES VIA SPARSE REPRESENTATION ............................................ 1926Ehsan Elhamifar, Rene Vidal, Johns Hopkins University, United States

MLSP-L4: SIGNAL SEPARATION

MLSP-L4.1: BOUNDED COMPONENT ANALYSIS OF LINEAR MIXTURES ............................................................... 1930Sergio Cruces, Ivan Duran, Auxiliadora Sarmiento, Pablo Aguilera, University of Seville, Spain

MLSP-L4.2: BLIND SPATIOTEMPORAL SEPARATION OF SECOND AND/OR ........................................................ 1934HIGHER-ORDER CORRELATED SOURCES BY ENTROPY RATE MINIMIZATIONXi-Lin Li, Tulay Adali, University of Maryland, Baltimore County, United States

MLSP-L4.3: SPECTROGRAM DIMENSIONALITY REDUCTION WITH INDEPENDENCE ..................................... 1938CONSTRAINTSKevin Wilson, Mitsubishi Electric Research Laboratories, United States; Bhiksha Raj, Carnegie Mellon University, United States

MLSP-L4.4: NONNEGATIVE MATRIX PARTIAL CO-FACTORIZATION FOR DRUM SOURCE .......................... 1942SEPARATIONJiho Yoo, Pohang University of Science and Technology, Republic of Korea; Minje Kim, Kyeongok Kang, Electronics and Telecommunications Research Instititute (ETRI), Republic of Korea; Seungjin Choi, Pohang University of Science and Technology, Republic of Korea

MLSP-L4.5: SEPARATING TWO BINARY SOURCES FROM A SINGLE NONLINEAR ............................................ 1946MIXTUREKonstantinos Diamantaras, Technological Education Institute of Thessaloniki, Greece; Theophilos Papadimitriou, Democritus University of Thrace, Greece

MLSP-L4.6: ONLINE BAYESIAN LEARNING FOR DYNAMIC SOURCE SEPARATION .......................................... 1950Hsin-Lung Hsieh, Jen-Tzung Chien, National Cheng Kung University, Taiwan

MLSP-P1: LEARNING THEORY AND MODELS II

MLSP-P1.1: A PSEUDO-RIEMANNIAN-GRADIENT APPROACH TO THE LEAST-SQUARES ............................... 1954PROBLEM ON THE REAL SYMPLECTIC GROUPSimone Fiori, Università Politecnica delle Marche, Italy

MLSP-P1.2: ONLINE REINFORCEMENT LEARNING FOR MULTIMEDIA BUFFER .............................................. 1958CONTROLNicholas Mastronarde, Mihaela van der Schaar, University of California, Los Angeles, United States

MLSP-P1.3: DIRECT IMPORTANCE ESTIMATION WITH PROBABILISTIC PRINCIPAL ..................................... 1962COMPONENT ANALYZERSMakoto Yamada, Colorado State University, Japan; Masashi Sugiyama, Tokyo Institute of Technology, Japan; Gordon Wichern, Arizona State University, Japan

MLSP-P1.4: A STUDY OF SEVERAL MODEL SELECTION CRITERIA FOR DETERMINING ............................... 1966THE NUMBER OF SIGNALSShikui Tu, Lei Xu, Chinese University of Hong Kong, Hong Kong SAR of China

MLSP-P1.5: LEARNING FROM HIGH-DIMENSIONAL NOISY DATA VIA PROJECTIONS ................................... 1970ONTO MULTI-DIMENSIONAL ELLIPSOIDSLiuling Gong, Dan Schonfeld, University of Illinois at Chicago, United States

MLSP-P1.6: LARGE MARGIN FILTERING FOR SIGNAL SEQUENCE LABELING ................................................... 1974Rémi Flamary, Université de Rouen, France; Benjamin Labbé, INSA de Rouen, France; Alain Rakotomamonjy, Université de Rouen, France

MLSP-P1.7: PARAMETRIC DICTIONARY LEARNING USING STEEPEST DESCENT ............................................. 1978Mahdi Ataee, Hadi Zayyani, Massoud Babaie-Zadeh, Sharif University of Technology, Iran; Christian Jutten, Institute Universitaire de France, France

MLSP-P1.8: DISTRIBUTED CORRELATED Q-LEARNING FOR DYNAMIC TRANSMISSION .............................. 1982CONTROL OF SENSOR NETWORKSJane Huang, University of British Columbia, Canada; Quanyan Zhu, University of Illinois at Urbana-Champaign, United States; Vikram Krishnamurthy, University of British Columbia, Canada; Tamer Basar, University of Illinois at Urbana-Champaign, United States

MLSP-P1.9: UNIVERSAL SWITCHING AND SIDE INFORMATION PORTFOLIOS UNDER ................................... 1986TRANSACTION COSTS USING FACTOR GRAPHSAndrew Bean, Andrew Singer, University of Illinois at Urbana-Champaign, United States

MLSP-P1.10: REGULARIZED ONLINE LEARNING OF PSEUDOMETRICS ................................................................ 1990Yvonne Moh, Joachim M. Buhmann, ETH Zurich, Switzerland

MLSP-P1.11: ERROR CORRECTIVE CLASSIFIER FUSION FOR SPOKEN LANGUAGE ........................................ 1994RECOGNITIONOmid Dehzangi, Nanyang Technological university, Singapore; Bin Ma, Institute for Infocomm Research, Singapore; Eng Siong Chng, Nanyang Technological university, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore

MLSP-P1.12: BAYESIAN LEARNING OF ECHO STATE NETWORKS WITH TUNABLE ........................................ 1998FILTERS AND DELAY & SUM READOUTSChristoph Zechner, Dmitriy Shutin, Graz University of Technology, Austria

MLSP-P1.13: VARIATIONAL INFERENCE FOR CONDITIONAL RANDOM FIELDS ............................................... 2002Chih-Pin Liao, Jen-Tzung Chien, National Cheng Kung University, Taiwan

MLSP-P2: SIGNAL SEPARATION AND SPARSE REPRESENTATIONS

MLSP-P2.1: BLIND RHYTHMIC SOURCE SEPARATION: NONNEGATIVITY AND ................................................ 2006REPEATABILITYMinje Kim, Electronics and Telecommunications Research Instititute (ETRI), Republic of Korea; Jiho Yoo, Pohang University of Science and Technology, Republic of Korea; Kyeongok Kang, Electronics and Telecommunications Research Instititute (ETRI), Republic of Korea; Seungjin Choi, Pohang University of Science and Technology, Republic of Korea

MLSP-P2.2: GLIMPSING INDEPENDENT VECTOR ANALYSIS: SEPARATING MORE .......................................... 2010SOURCES THAN SENSORS USING ACTIVE AND INACTIVE STATESAlireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. Rao, University of California, San Diego, United States

MLSP-P2.3: AN ENTROPY BASED METHOD FOR ACTIVATION DETECTION OF ................................................ 2014FUNCTIONAL MRI DATA USING INDEPENDENT COMPONENT ANALYSISMahsa Akhbari, Massoud Babaie-Zadeh, Emad Fatemizadeh, Sharif University of Technology, Iran; Christian Jutten, GIPSA-lab, France

MLSP-P2.4: FINDING INITIAL VALUES FOR TIME-VARYING JOINT DIAGONALIZATION ............................... 2018Gen Hori, Asia University / RIKEN, Japan; Toshihisa Tanaka, Tokyo University of Agriculture and Technology / RIKEN, Japan

MLSP-P2.5: A BLOCK-BASED COMPRESSED SENSING METHOD FOR ................................................................... 2022UNDERDETERMINED BLIND SPEECH SEPARATION INCORPORATING BINARY MASKTao Xu, Wenwu Wang, University of Surrey, United Kingdom

MLSP-P2.6: A NEW NONNEGATIVE MATRIX FACTORIZATION FOR INDEPENDENT ....................................... 2026COMPONENT ANALYSISHsin-Lung Hsieh, Jen-Tzung Chien, National Cheng Kung University, Taiwan

MLSP-P2.7: GRADIENT POLYTOPE FACES PURSUIT FOR LARGE SCALE SPARSE ............................................ 2030RECOVERY PROBLEMSAris Gretsistas, Ivan Damnjanovic, Mark Plumbley, Queen Mary University of London, United Kingdom

MLSP-P2.8: SPARSE REPRESENTATION ALGORITHMS BASED ON MEAN-FIELD .............................................. 2034APPROXIMATIONSCedric Herzet, Angelique Dremeau, Institut National de Recherche en Informatique et en Automatique, France

MLSP-P2.9: NONNEGATIVE MATRIX FACTORIZATION WITH MATRIX EXPONENTIATION .......................... 2038Siwei Lyu, SUNY Albany, United States

MLSP-P2.10: DICTIONARY LEARNING AND SPARSE CODING FOR UNSUPERVISED ......................................... 2042CLUSTERINGPablo Sprechmann, Guillermo Sapiro, University of Minnesota, United States

MLSP-P2.11: AN EM-ALGORITHM APPROACH FOR THE DESIGN OF ORTHONORMAL .................................. 2046BASES ADAPTED TO SPARSE REPRESENTATIONSAngélique Drémeau, Cédric Herzet, INRIA Centre Rennes-Bretagne Atlantique, France

MLSP-P2.12: FLEXIBLE COMPLEX ICA OF FMRI DATA ............................................................................................... 2050Hualiang Li, Tulay Adali, Nicolle Correa, Pedro Rodriguez, University of Maryland, Baltimore County, United States; Vince Calhoun, university of new mexico, United States

MLSP-P2.13: A TRAINING ALGORITHM FOR SPARSE LS-SVM USING COMPRESSIVE ..................................... 2054SAMPLINGJie Yang, Abdesselam Bouzerdoum, Son Lam Phung, University of Wollongong, Australia

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MLSP-P3: LEARNING THEORY AND MODELS III

MLSP-P3.1: LEARNING ALPHA-INTEGRATION WITH PARTIALLY-LABELED DATA ......................................... 2058Heeyoul Choi, Texas A&M University, United States; Seungjin Choi, Pohang University of Science and Technology, Republic of Korea; Anup Katake, Starvision Technologies, United States; Yoonsuck Choe, Texas A&M University, United States

MLSP-P3.2: KERNEL WIDTH ADAPTATION IN INFORMATION THEORETIC COST ........................................... 2062FUNCTIONSAbhishek Singh, Jose Principe, University of Florida, United States

MLSP-P3.3: A CONDITIONAL DISTRIBUTION FUNCTION BASED APPROACH TO DESIGN ............................. 2066NONPARAMETRIC TESTS OF INDEPENDENCE AND CONDITIONAL INDEPENDENCESohan Seth, Jose Principe, University of Florida, United States

MLSP-P3.4: A CLOSED FORM RECURSIVE SOLUTION FOR MAXIMUM ................................................................ 2070CORRENTROPY TRAININGAbhishek Singh, Jose Principe, University of Florida, United States

MLSP-P3.5: THEORETICAL ANALYSES FOR A CLASS OF KERNELS WITH AN INVARIANT ........................... 2074METRICAkira Tanaka, Masaaki Miyakoshi, Hokkaido University, Japan

MLSP-P3.6: MESSAGE ERROR ANALYSIS OF LOOPY BELIEF PROPAGATION ..................................................... 2078Xiangqiong Shi, Dan Schonfeld, Daniela Tuninetti, University of Illinois at Chicago, United States

MLSP-P3.7: EXPECTATION PROPAGATION FOR ESTIMATING THE PARAMETERS OF THE ......................... 2082BETA DISTRIBUTIONZhanyu Ma, Arne Leijon, KTH - Royal Institute of Technology, Sweden

MLSP-P3.8: VARIATIONAL BAYESIAN INFERENCE FOR POINT PROCESS GENERALIZED ............................ 2086LINEAR MODELS IN NEURAL SPIKE TRAINS ANALYSISZhe Chen, MIT/MGH/HMS, United States; Fabian Kloosterman, Matthew A. Wilson, Massachusetts Institute of Technology, United States; Emery N. Brown, MIT/MGH/HMS, United States

MLSP-P3.9: A NONPARAMETRIC BAYESIAN MODEL FOR KERNEL MATRIX ..................................................... 2090COMPLETIONJohn Paisley, Lawrence Carin, Duke Universtiy, United States

MLSP-P3.10: EVIDENCE-BASED CUSTOM-PRECISION ESTIMATION WITH ......................................................... 2094APPLICATIONS TO SOLVING NONLINEAR APPROXIMATION PROBLEMSDmitriy Shutin, Graz University of Technology, Austria; Manfred Muecke, University of Vienna, Austria

MLSP-P3.11: VARIATIONAL NONPARAMETRIC BAYESIAN HIDDEN MARKOV MODEL................................... 2098Nan Ding, Zhijian Ou, Tsinghua University, China

MLSP-P3.12: BRIDGE DETECTION AND ROBUST GEODESICS ESTIMATION VIA ............................................... 2102RANDOM WALKSEugene Brevdo, Peter Ramadge, Princeton University, United States

MLSP-P3.13: DYNAMIC FACTOR GRAPHS: A NOVEL FRAMEWORK FOR MULTIPLE ...................................... 2106FEATURES DATA FUSIONKittipat Kampa, Jose Principe, Clint Slatton, University of Florida, United States

MLSP-P4: MACHINE LEARNING APPLICATIONS II

MLSP-P4.1: PRIOR-BASED VANISHING POINT ESTIMATION THROUGH GLOBAL ............................................ 2110PERSPECTIVE STRUCTURE MATCHINGQi Wu, Carnegie Mellon University, United States; Wende Zhang, General Motors Corporation, United States; Tsuhan Chen, Cornell University, United States; B.V.K. Vijaya Kumar, Carnegie Mellon University, United States

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MLSP-P4.2: IMAGE-QUALITY PREDICTION OF SYNTHETIC APERTURE SONAR ............................................... 2114IMAGERYDavid Williams, NATO Undersea Research Centre, Italy

MLSP-P4.3: A NEW LAPLACIAN MIXTURE CONDITIONAL RANDOM FIELD MODEL FOR ............................. 2118IMAGE LABELINGXiaofeng Wang, Xiao-Ping Zhang, Ryerson University, Canada

MLSP-P4.4: AN ALTERNATIVE SCANNING STRATEGY TO DETECT FACES.......................................................... 2122Venkatesh Bala Subburaman, Sebastien Marcel, Idiap Research Institute, Switzerland

MLSP-P4.5: BAYESIAN X-RAY COMPUTED TOMOGRAPHY USING MATERIAL CLASS .................................... 2126KNOWLEDGEWataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii, Kyoto University, Japan

MLSP-P4.6: HUMAN ACTION RECOGNITION BASED ON SELF ORGANIZING MAP ............................................ 2130Wei Huang, Q. M. Jonathan Wu, University of Windsor, Canada

MLSP-P4.7: AN IMPROVED MOTION-SEARCH METHOD BASED ON PATTERN ................................................... 2134CLASSIFICATIONDexin Wang, Qi Wang, Hui Cheng, Hua Huang, Xi’an Jiaotong University, China

MLSP-P4.8: A LEARNING-BASED SYSTEM FOR GENERATING EXAGGERATIVE ............................................... 2138CARICATURE FROM FACE IMAGES WITH EXPRESSIONTing-Ting Yang, Shang-Hong Lai, National Tsing Hua University, Taiwan

MLSP-P4.9: A CO-GAUSSIAN PROCESS BASED FRAMEWORK FOR REMOTE SENSING ................................... 2142IMAGE CHANGE DETECTIONKeming Chen, Zhenglong Li, Jian Cheng, Institute of Automation, Chinese Academy of Sciences, China; Zhixin Zhou, Beijing Institute of Remote Sensing, China; Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, China

MLSP-P4.10: RECOGNITION OF PHONEMES AND WORDS IN SINGING .................................................................. 2146Annamaria Mesaros, Tuomas Virtanen, Tampere University of Technology, Finland

MLSP-P4.11: EVALUATION OF RANDOM-PROJECTION-BASED FEATURE COMBINATION ............................ 2150ON SPEECH RECOGNITIONTetsuya Takiguchi, Kobe University, Japan; Jeff Bilmes, University of Washington, United States; Mariko Yoshii, Yasuo Ariki, Kobe University, Japan

MLSP-P4.12: AUTOMATIC STATE DISCOVERY FOR UNSTRUCTURED AUDIO SCENE ..................................... 2154CLASSIFICATIONJulian Ramos, Sajid Siddiqi, Artur Dubrawski, Geoffrey Gordon, Carnegie Mellon University, United States; Abhishek Sharma, MobileFusion Inc., United States

MLSP-P4.14: FACE RECOGNITION BASED ON SEPARABLE LATTICE 2-D HMM WITH ..................................... 2162STATE DURATION MODELINGYoshiaki Takahashi, Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

MLSP-P5: PATTERN RECOGNITION AND SIGNAL DETECTION II

MLSP-P5.1: IMPROVING CLASSIFICATION PERFORMANCE OF LINEAR FEATURE ......................................... 2166EXTRACTION ALGORITHMSMoataz El Ayadi, Konstantinos Plataniotis, University of Toronto, Canada

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MLSP-P5.2: MINIMUM ERROR CLASSIFICATION WITH GEOMETRIC MARGIN ................................................ 2170CONTROLHideyuki Watanabe, National Institute of Information and Communications Technology, Japan; Shigeru Katagiri, Kouta Yamada, Doshisha University, Japan; Erik McDermott, Atsushi Nakamura, Shinji Watanabe, Nippon Telegraph and Telephone Corporation, Japan; Miho Ohsaki, Doshisha University, Japan

MLSP-P5.3: EVOLUTIONARY SPECTRAL CLUSTERING WITH ADAPTIVE FORGETTING ............................... 2174FACTORKevin Xu, University of Michigan, United States; Mark Kliger, Medasense Biometrics Ltd., Israel; Alfred Hero, University of Michigan, United States

MLSP-P5.4: AN INFORMATION RETRIEVAL PERSPECTIVE ON VISUALIZATION OF ....................................... 2178GENE EXPRESSION DATA WITH ONTOLOGICAL ANNOTATIONJaakko Peltonen, Helena Aidos, Helsinki University of Technology, Finland; Nils Gehlenborg, Alvis Brazma, European Bioinformatics Institute, United Kingdom; Samuel Kaski, Helsinki University of Technology, Finland

MLSP-P5.5: LARGE MARGIN WAVELET-BASED DICTIONARY FOR SIGNAL ....................................................... 2182CLASSIFICATIONFlorian Yger, Alain Rakotomamonjy, Université de Rouen, France

MLSP-P5.6: HISTOGRAM OF TEMPLATE FOR HUMAN DETECTION ....................................................................... 2186Shaopeng Tang, Satoshi Goto, Waseda University, Japan

MLSP-P5.7: ROBUST AND FAST VOWEL RECOGNITION USING OPTIMUM-PATH ............................................. 2190FORESTJoao Papa, Aparecido Marana, Sao Paulo State University, Brazil; Andre Spadotto, Rodrigo Guido, University of Sao Paulo, Brazil; Alexandre Falcao, University of Campinas, Brazil

MLSP-P5.8: A 3D FEATURE MODEL FOR IMAGE MATCHING .................................................................................... 2194Zachary Sun, Nadya Bliss, Karl Ni, MIT Lincoln Laboratory, United States

MLSP-P5.9: AUTOMATED ECG PROFILING AND BEAT CLASSIFICATION............................................................. 2198Miad Faezipour, Adnan Saeed, Mehrdad Nourani, University of Texas at Dallas, United States

MLSP-P5.10: LEVEL SET ESTIMATION ON THE SPHERE ............................................................................................. 2202Alexander Lorbert, Peter Ramadge, Princeton University, United States

MLSP-P5.11: AN EXTENSION OF SEPARABLE LATTICE 2-D HMMS FOR ROTATIONAL ................................... 2206DATA VARIATIONSAkira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

MLSP-P5.12: ALPHA-INTEGRATION OF MULTIPLE EVIDENCE ................................................................................ 2210Heeyoul Choi, Texas A&M University, United States; Anup Katake, Starvision Technologies, United States; Seungjin Choi, Pohang University of Science and Technology, Republic of Korea; Yoonsuck Choe, Texas A&M University, United States

MLSP-P5.13: TRAINING A SUPPORT VECTOR MACHINE TO CLASSIFY SIGNALS IN A .................................... 2214REAL ENVIRONMENT GIVEN CLEAN TRAINING DATAKevin Jamieson, Maya Gupta, Eric Swanson, Hyrum Anderson, University of Washington, United States

MLSP-P5.14: LINEAR FEATURE EXTRACTION USING SUFFICIENT STATISTIC .................................................. 2218Mohammad Shahin Mahanta, Konstantinos Plataniotis, University of Toronto, Canada

MLSP-P6: MACHINE LEARNING APPLICATIONS III

MLSP-P6.1: A GENERAL STATISTICAL FRAMEWORK FOR ASSESSING GRANGER .......................................... 2222CAUSALITYSanggyun Kim, Massachusetts Institute of Technology, United States; Emery N. Brown, Harvard Medical School, United States

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MLSP-P6.2: TOWARDS OPTIMUM LINEAR TRANSFORMATION UNDER ZERO-MEAN ..................................... 2226GAUSSIAN MIXTURES FOR DETECTION OF MOTOR IMAGERY EEGHaihong Zhang, Cuntai Guan, Chuanchu Wang, Institute for Infocomm Research, Singapore

MLSP-P6.3: ANALYZING GRASPING FOR INFERRING COGNITIVE STATES OF USERS .................................... 2230Kotaro Ogino, Nagoya University, Japan; Takatoshi Jitsuhiro, Aichi University of Technology, Japan; Chiyomi Miyajima, Kazuya Takeda, Nagoya University, Japan

MLSP-P6.4: PHYSICAL LAYER TECHNIQUES FOR ENHANCED SITUATIONAL ................................................... 2234AWARENESSRob Miller, Wade Trappe, Rutgers University, United States

MLSP-P6.5: ORDERING BASED ENERGY EFFICIENT NEYMAN-PEARSON ............................................................ 2238CLASSIFICATION IN SENSOR NETWORKSSelcem Artan, Hacettepe University, Turkey; Yusuf Artan, Illinois Institute of Technology, United States

MLSP-P6.7: FEATURE EXTRACTION AND OPTIMIZATION OF REPRESENTATIVE-SLICE .............................. 2246IN AMBIGUITY FUNCTION FOR MOVING RADAR EMITTER RECOGNITIONLei Wang, Hongbing Ji, Ya Shi, Xidian University, China

MLSP-P6.9: WEAKLY SUPERVISED LEARNING WITH DECISION TREES APPLIED TO ..................................... 2254FISHERIES ACOUSTICSRiwal Lefort, ifremer, France; Ronan Fablet, Jean-Marc Boucher, Telecom-bretagne/LabSTICC, France

MLSP-P6.10: A KERNEL-APPROACH FOR ESTIMATING THE POSITION OF MOVING ...................................... 2258OBJECTSDaniel Kotzor, EADS, Germany; Wolfgang Utschick, Technische Universität München, Germany

MLSP-P6.11: MODEL-LEVEL DATA-DRIVEN SUB-UNITS FOR SIGNS IN VIDEOS OF .......................................... 2262CONTINUOUS SIGN LANGUAGEStavros Theodorakis, Vassilis Pitsikalis, Petros Maragos, National Technical University of Athens, Greece

MLSP-P6.12: NOVEL PATTERN DETECTION IN CHILDREN WITH AUTISM SPECTRUM .................................. 2266DISORDER USING ITERATIVE SUBSPACE IDENTIFICATIONCheol-Hong Min, Ahmed H. Tewfik, University of Minnesota, United States

MLSP-P6.13: ACCELEROMETER-BASED GESTURE RECOGNITION VIA DYNAMIC–TIME .............................. 2270WARPING, AFFINITY PROPAGATION, & COMPRESSIVE SENSINGAhmad Akl, Shahrokh Valaee, University of Toronto, Canada

MMSP-L1: MULTIMEDIA INDEXING & RETREIVAL

MMSP-L1.1: A WORLDWIDE TOURISM RECOMMENDATION SYSTEM BASED ON ............................................ 2274GEOTAGGED WEB PHOTOSLiangliang Cao, University of Illinois, United States; Jiebo Luo, Kodak Research Labs, United States; Andrew Gallagher, Kodak, United States; Xin Jin, Jiawei Han, Thomas S. Huang, University of Illinois at Urbana-Champaign, United States

MMSP-L1.2: DETECTING LOCAL SEMANTIC CONCEPTS IN ENVIRONMENTAL ................................................ 2278SOUNDS USING MARKOV MODEL BASED CLUSTERINGKeansub Lee, Daniel Ellis, Columbia University, United States; Alexander Loui, Eastman Kodak Company, United States

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MMSP-L1.3: NEARLY-REPETITIVE VIDEO SYNCHONISATION USING NONLINEAR ......................................... 2282MANIFOLD EMBEDDINGSiripinyo Chantamunee, Yoshihiko Gotoh, University of Sheffield, United Kingdom

MMSP-L1.4: AUDIO EVENT DETECTION IN A SPORTS GAME USING A HIERARCHY OF ................................. 2286LANGUAGE MODELSQiang Huang, Stephen Cox, University of East Anglia, United Kingdom

MMSP-L1.5: FEATURE-BASED EXTRACTION OF PLUCKING AND EXPRESSION STYLES ............................... 2290OF THE ELECTRIC BASS GUITARJakob Abesser, Hanna Lukashevich, Gerald Schuller, Fraunhofer IDMT, Germany

MMSP-L1.6: ON THE USE OF SEQUENTIAL PATTERNS MINING AS TEMPORAL ................................................ 2294FEATURES FOR MUSIC GENRE CLASSIFICATIONJia-Min Ren, Zhi-Sheng Chen, Jyh-Shing Roger Jang, National Tsing Hua University, Taiwan

MMSP-L2: MULTIMEDIA COMMUNICATIONS & NETWORKING

MMSP-L2.1: JOINT PACKET PRIORITIZATION AND QOS MAPPING FOR SVC OVER ....................................... 2298WLANSMaodong Li, Zhenzhong Chen, Yap-Peng Tan, Nanyang Technological University, Singapore

MMSP-L2.2: IMPROVING ERROR RESILIENCE OF SCALABLE H.264 (SVC) VIA DRIFT .................................... 2302CONTROLWai-tian Tan, Andrew Patti, Hewlett Packard, United States

MMSP-L2.3: BACKWARD ERROR CONCEALMENT OF REDUNDANTLY CODED VIDEO ................................... 2306Xiaopeng Fan, Oscar C. Au, Jiantao Zhou, Hong Kong University of Science and Technology, Hong Kong SAR of China

MMSP-L2.4: A NEW APPROACH TO CROSS-LAYER OPTIMIZATION OF MULTIMEDIA ................................... 2310SYSTEMSNicholas Mastronarde, Mihaela van der Schaar, University of California, Los Angeles, United States

MMSP-L2.5: NON-COOPERATIVE OPTIMIZATION OF WIRELESS VIDEO ENCODERS ...................................... 2314Yih Han Tan, Wei Siong Lee, Jo Yew Tham, Susanto Rahardja, Institute for Infocomm Research, Singapore

MMSP-L2.6: JOINT POLLUTION DETECTION AND ATTACKER IDENTIFICATION IN ....................................... 2318PEER-TO-PEER LIVE STREAMINGBo Hu, H. Vicky Zhao, University of Alberta, Canada

MMSP-P1: MULTIMEDIA NETWORKING & CODING

MMSP-P1.1: REDUNDANT REPRESENTATION FOR NETWORK VIDEO STREAMING ........................................ 2322USING RECONSTRUCTED P-FRAMES AND SP-FRAMESGene Cheung, National Institute of Informatics, Japan; Wai-Tian Tan, Hewlett-Packard Laboratories, United States

MMSP-P1.2: MULTI-RESOLUTION REDUNDANCY FOR ERROR-RESILIENT VIDEO .......................................... 2326TRANSMISSIONDebargha Mukherjee, Wai-Tian Tan, Hewlett Packard, United States

MMSP-P1.3: SLICE-LEVEL RATE-DISTORTION OPTIMIZED MULTIPLE DESCRIPTION .................................. 2330CODING FOR H.264/AVCLorenzo Peraldo, Enrico Baccaglini, Enrico Magli, Gabriella Olmo, Politecnico di Torino, Italy; Rashid Ansari, Yingwei Yao, University of Illinois at Chicago, Italy

MMSP-P1.4: BITRATE MODELING OF SCALABLE VIDEOS USING QUANTIZATION .......................................... 2334PARAMETER, FRAME RATE AND SPATIAL RESOLUTIONSalahuddin Azad, Wei Song, Dian Tjondronegoro, Queensland University of Technology, Australia

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MMSP-P1.5: USING AN EXPONENTIAL POWER MODEL FOR WYNER ZIV VIDEO ............................................. 2338CODINGThomas Maugey, Jérôme Gauthier, Béatrice Pesquet-Popescu, TELECOM ParisTech, France; Christine Guillemot, IRISA, France

MMSP-P1.6: HIGH ORDER MOTION INTERPOLATION FOR SIDE INFORMATION ............................................. 2342IMPROVEMENT IN DVCGiovanni Petrazzuoli, Marco Cagnazzo, Beatrice Pesquet-Popescu, TELECOM ParisTech, France

MMSP-P1.7: OPTIMAL SOLUTION FOR SVC-BASED VIDEO TRANSMISSION OVER A ...................................... 2346REALISTIC MIMO CHANNEL USING PRECODER DESIGNSWassim Hamidouche, Clency Perrine, Yannis Pousset, Christian Olivier, XLIM-SIC, France

MMSP-P1.8: AN AUCTION-BASED FRAMEWORK FOR MULTIMEDIA STREAMING OVER .............................. 2350COGNITIVE RADIO NETWORKSYan Chen, Yongle Wu, Beibei Wang, K. J. Ray Liu, University of Maryland, College Park, United States

MMSP-P1.10: ROBUST IP AND UDP-LITE HEADER RECOVERY FOR PACKETIZED ........................................... 2358MULTIMEDIA TRANSMISSIONFrancois Meriaux, ENS Cachan, France; Michel Kieffer, L2S, CNRS-SUPELEC-Univ Paris-Sud, France

MMSP-P1.12: DISPARITY SEARCH RANGE ESTIMATION: ENFORCING TEMPORAL ........................................ 2366CONSISTENCYDongbo Min, Sehoon Yea, Mitsubishi Electric Research Laboratories, United States; Zafer Arican, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Anthony Vetro, Mitsubishi Electric Research Laboratories, United States

MMSP-P2: MULTIMEDIA DATABASE & SECURITY

MMSP-P2.1: APPROXIMATE NEAREST NEIGHBORS USING SPARSE REPRESENTATIONS............................... 2370Joaquin Zepeda, Institut National de Recherche en Informatique et en Automatique, France; Ewa Kijak, Universite de Rennes 1, France; Christine Guillemot, Institut National de Recherche en Informatique et en Automatique, France

MMSP-P2.2: CBCD BASED ON COLOR FEATURES AND LANDMARK MDS-ASSISTED ....................................... 2374DISTANCE ESTIMATIONMarzia Corvaglia, Fabrizio Guerrini, Riccardo Leonardi, Pierangelo Migliorati, Eliana Rossi, University of Brescia, Italy

MMSP-P2.3: MULTI-LEVEL TRAJECTORY MODELING FOR VIDEO COPY DETECTION ................................... 2378Shi Chen, Jinqiao Wang, Yi Ouyang, Bo Wang, Institute of Automation, Chinese Academy of Sciences, China; Qi Tian, University of Texas at San Antonio, United States; Hanqin Lu, Institute of Automation, Chinese Academy of Sciences, China

MMSP-P2.4: REVERSIBLE IMAGE WATERMARKING BASED ON A GENERALIZED .......................................... 2382INTEGER TRANSFORMXudong Chen, Xiaolong Li, Bin Yang, Yingmin Tang, Peking University, China

MMSP-P2.5: AUDIO FINGERPRINTING TO IDENTIFY MULTIPLE VIDEOS OF AN .............................................. 2386EVENTCourtenay Cotton, Daniel Ellis, Columbia University, United States

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MMSP-P2.7: LARGE SCALE PARTIAL-DUPLICATE IMAGE RETRIEVAL WITH BI-SPACE ............................... 2394QUANTIZATION AND GEOMETRIC CONSISTENCYWengang Zhou, Houqiang Li, University of Science and Technology of China, China; Yijuan Lu, Texas State University, United States; Qi Tian, University of Texas at San Antonio, United States

MMSP-P2.9: COMBINING SEMANTIC, SOCIAL, AND ACOUSTIC SIMILARITY FOR ........................................... 2402RETRIEVAL OF ENVIRONMENTAL SOUNDSBrandon Mechtley, Gordon Wichern, Harvey Thornburg, Andreas Spanias, Arizona State University, United States

MMSP-P2.10: USING NAIVE TEXT QUERIES FOR ROBUST AUDIO INFORMATION ............................................ 2406RETRIEVALSamuel Kim, Panayiotis Georgiou, Shrikanth Narayanan, University of Southern California, United States; Shiva Sundaram, Deutsche Telekom, Germany

MMSP-P2.11: FEATURE EXTRACTION BY INCREMENTAL PARSING FOR MUSIC ............................................. 2410INDEXINGNawaf Almoosa, Georgia Institute of Technology, United States; Soo Hyun Bae, SONY US Research Center, United States; Biing-Hwang Juang, Georgia Institute of Technology, United States

MMSP-P2.12: BACKGROUND MUSIC IDENTIFICATION THROUGH CONTENT .................................................... 2414FILTERING AND MIN-HASH MATCHINGChih-Yi Chiu, National Chiayi University, Taiwan; Dimitrios Bountouridis, Ju-Chiang Wang, Hsin-Min Wang, Academia Sinica, Taiwan

MMSP-P2.14: VIDEO ACTION RECOGNITION WITH SPATIO-TEMPORAL GRAPH ............................................. 2422EMBEDDING AND SPLINE MODELINGYin Yuan, Haomian Zheng, Zhu Li, David Zhang, Hong Kong Polytechnic University, Hong Kong SAR of China

MMSP-P3: QUALITY ASSESSMENT

MMSP-P3.1: ACCURATE VIDEO-QUALITY ESTIMATION WITHOUT VIDEO DECODING .................................. 2426Toru Yamada, NEC Informatec Systems, Japan; Shoji Yachida, Yuzo Senda, Masahiro Serizawa, NEC, Japan

MMSP-P3.2: H.264/AVC VIDEO DATABASE FOR THE EVALUATION OF QUALITY METRICS........................... 2430Francesca De Simone, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Marco Tagliasacchi, Matteo Naccari, Stefano Tubaro, Politecnico di Milano, Italy; Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

MMSP-P3.3: NO-REFERENCE IMAGE SHARPNESS ASSESSMENT BASED ON LOCAL ........................................ 2434PHASE COHERENCE MEASUREMENTRania Hassen, Zhou Wang, Magdy Salama, University of Waterloo, Canada

MMSP-P3.4: LOW-COMPLEXITY COMPUTATION OF VISUAL INFORMATION FIDELITY ............................... 2438IN THE DISCRETE WAVELET DOMAINSoroosh Rezazadeh, Stephane Coulombe, Ecole de technologie supérieure, Canada

MMSP-P3.5: IMPROVING THE PREDICTION ACCURACY OF VIDEO QUALITY METRICS ................................ 2442Christian Keimel, Tobias Oelbaum, Klaus Diepold, Technische Universität München, Germany

MMSP-P3.6: PERCEPTUAL QUALITY OF VIDEO WITH FRAME RATE VARIATION : A ..................................... 2446SUBJECTIVE STUDYYen-Fu Ou, Yan Zhou, Yao Wang, Polytechnic Institute of New York University, United States

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MMSP-P3.7: QUALITY ASSESSMENT FOR LISTENING-ROOM COMPENSATION ................................................ 2450ALGORITHMSStefan Goetze, Eugen Albertin, Fraunhofer IDMT-HSA, Germany; Markus Kallinger, University of Oldenburg, Germany; Alfred Mertins, University of Luebeck, Germany; Karl-Dirk Kammeyer, University of Bremen, Germany

MMSP-P3.8: AN IMPROVED MODEL OF PIXEL ADAPTIVE JUST-NOTICEABLE .................................................. 2454DIFFERENCE ESTIMATIONJinjian Wu, Fei Qi, Guangming Shi, Xidian University, China

MMSP-P4: MULTIMODAL SYSTEMS & APPLICATIONS

MMSP-P4.1: ROBOT-DIRECTED SPEECH DETECTION USING MULTIMODAL ..................................................... 2458SEMANTIC CONFIDENCE BASED ON SPEECH, IMAGE, AND MOTIONXiang Zuo, Advanced Telecommunication Research Labs, Japan; Naoto Iwahashi, National Institute of Information and Communications Technology, Japan; Ryo Taguchi, Advanced Telecommunication Research Labs, Japan; Shigeki Matsuda, Komei Sugiura, National Institute of Information and Communications Technology, Japan; Kotaro Funakoshi, Mikio Nakano, Honda Research Institute Japan Co., Ltd, Japan; Natsuki Oka, Kyoto Institute of Technology, Japan

MMSP-P4.2: DECISION LEVEL COMBINATION OF MULTIPLE MODALITIES FOR ............................................. 2462RECOGNITION AND ANALYSIS OF EMOTIONAL EXPRESSIONAngeliki Metallinou, Sungbok Lee, Shrikanth Narayanan, University of Southern California, United States

MMSP-P4.3: MULTI-MODAL ANALYSIS OF DANCE PERFORMANCES FOR .......................................................... 2466MUSIC-DRIVEN CHOREOGRAPHY SYNTHESISFerda Ofli, Engin Erzin, Yucel Yemez, A. Murat Tekalp, Koç University, Turkey

MMSP-P4.4: FACIAL EXPRESSION RECOGNITION USING CURVELET BASED LOCAL ..................................... 2470BINARY PATTERNSAshirbani Saha, Q. M. Jonathan Wu, University of Windsor, Canada

MMSP-P4.5: VISUAL EMOTION RECOGNITION USING COMPACT FACIAL ......................................................... 2474REPRESENTATIONS AND VISEME INFORMATIONAngeliki Metallinou, University of Southern California, United States; Carlos Busso, University of Texas at Dallas, United States; Sungbok Lee, Shrikanth Narayanan, University of Southern California, United States

MMSP-P4.6: REALISTIC MOUTH ANIMATION BASED ON AN ARTICULATORY DBN ........................................ 2478MODEL WITH CONSTRAINED ASYNCHRONYDongmei Jiang, Northwestern Polytechnical University, China; Ilse Ravyse, Vrije Universiteit Brussel, Belgium; Peizhen Liu, Northwestern Polytechnical University, China; Hichem Sahli, Werner Verhelst, Vrije Universiteit Brussel, Belgium

MMSP-P4.7: PERFORMANCE FOLLOWING: TRACKING A PERFORMANCE WITHOUT A ............................... 2482SCOREAdam Stark, Mark Plumbley, Queen Mary University of London, United Kingdom

MMSP-P4.8: AUDIO-BASED NONLINEAR VIDEO DIFFUSION ...................................................................................... 2486Anna Llagostera Casanovas, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

MMSP-P4.9: LOCALIZATION OF ACOUSTIC SOURCE ON SOLIDS: A LINEAR ..................................................... 2490PREDICTIVE CODING BASED ALGORITHM FOR LOCATION TEMPLATE MATCHINGXuexin Yap, Andy W.H. Khong, Wong-Seng Gan, Nanyang Technological University, Singapore

MMSP-P4.10: GPU-BASED FAST SCALE INVARIANT INTEREST POINT DETECTOR ........................................... 2494Hongtao Xie, Ke Gao, Yongdong Zhang, Jintao Li, Yizhi Liu, Institute of Computing Technology, Chinese Academy of Sciences, China

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SAM-L1: RELAY NETWORKS

SAM-L1.1: JOINT BANDWIDTH AND POWER ALLOCATION IN WIRELESS MULTI-USER ................................ 2498DECODE-AND-FORWARD RELAY NETWORKSXiaowen Gong, Sergiy Vorobyov, Chintha Tellambura, University of Alberta, Canada

SAM-L1.2: A PRACTICAL FORWARDING SCHEME FOR WIRELESS RELAY CHANNELS ................................. 2502BASED ON THE QUANTIZATION OF LOG-LIKELIHOOD RATIOSStefan Schwandter, Gerald Matz, Vienna University of Technology, Austria

SAM-L1.3: PAIR-AWARE TRANSCEIVE BEAMFORMING FOR NON-REGENERATIVE ....................................... 2506MULTI-USER TWO-WAY RELAYINGAditya Umbu Tana Amah, Anja Klein, Technische Universität Darmstadt, Germany

SAM-L1.4: ACHIEVABLE RATE REGION AND SUM-RATE MAXIMIZATION FOR NETWORK ......................... 2510BEAMFORMING FOR BI-DIRECTIONAL RELAY NETWORKSShahram Shahbazpanahi, Min Dong, University of Ontario Institute of Technology, Canada

SAM-L1.5: A SEMI-CLOSED FORM SOLUTION TO THE SNR BALANCING PROBLEM OF ................................. 2514TWO-WAY RELAY NETWORK BEAMFORMINGShahram Shahbazpanahi, Min Dong, University of Ontario Institute of Technology, Canada

SAM-L1.6: A PRACTICAL AMPLIFY-AND-FORWARD RELAYING STRATEGY WITH AN .................................. 2518INTENTIONAL PEAK POWER LIMITQijia Liu, Wei Zhang, Xiaoli Ma, G. Tong Zhou, Georgia Institute of Technology, United States

SAM-L2: BEAMFORMING

SAM-L2.1: OVERSAMPLING TRANSMIT AND RECEIVE ANTENNA ARRAYS ........................................................ 2522Chen-Pang Yeang, University of Toronto, Canada; Gregory Wornell, Lizhong Zheng, Massachusetts Institute of Technology, United States

SAM-L2.2: ADAPTIVE UNCERTAINTY BASED ITERATIVE ROBUST CAPON BEAMFORMER .......................... 2526Joni Polili Lie, Xiaohui Li, Wee Ser, Nanyang Technological University, Singapore; Chong Meng Samson See, DSO National Laboratories, Singapore; Lei Lei, Nanyang Technological University, Singapore

SAM-L2.3: ROBUST AUXILIARY VECTOR FILTERING ALGORITHM BASED ON ................................................ 2530CONSTRAINED CONSTANT MODULUS DESIGN FOR ADAPTIVE BEAMFORMINGLei Wang, Rodrigo de Lamare, University of York, United Kingdom

SAM-L2.4: ROBUST ADAPTIVE BEAMFORMING AND STEERING VECTOR ESTIMATION ............................... 2534IN PARTLY CALIBRATED SENSOR ARRAYS: A STRUCTURED UNCERTAINTY APPROACHLei Lei, Joni Polili Lie, Temasek Laboratories at Nanyang Technological University, Singapore; Alex Gershman, Technische Universitaet Darmstadt, Germany; Chong Meng Samson See, Temasek Laboratories at Nanyang Technological University, Singapore

SAM-L2.5: ROBUST ADAPTIVE BEAMFORMING BASED ON MULTI-DIMENSIONAL ......................................... 2538COVARIANCE FITTINGMichael Rübsamen, Alex Gershman, Technische Universität Darmstadt, Germany

SAM-L2.6: ROBUST ADAPTIVE BEAMFORMER WITH A LARGE CONTROLLED MAINLOBE .......................... 2542Zhu Liang Yu, Zhenghui Gu, Yuanqing Li, South China University of Technology, China; Wee Ser, Meng Hwa Er, Nanyang Technological University, Singapore

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SAM-L3: MULTICHANNEL COMMUNICATIONS

SAM-L3.1: OPTIMAL ZERO-FORCING PRECODING DESIGN - OVERSAMPLED FB ............................................ 2546FRAME APPROACHShenpeng Li, Jingxin Zhang, Monash University, Australia; Li Chai, Wuhan University of Science and Technology, China

SAM-L3.2: CIRCULANT SPACE-TIME CODES FOR INTEGRATION WITH BEAMFORMING .............................. 2550Yiyue Wu, Robert Calderbank, Princeton University, United States

SAM-L3.3: A NOVEL APPROACH TO SPACE-TIME-FREQUENCY CODED MIMO-OFDM ................................... 2554OVER FREQUENCY SELECTIVE FADING CHANNELSMuthanna Al-Mahmoud, Dr. Michael Zoltowski, Purdue University, United States

SAM-L3.4: POISONED FEEDBACK: THE IMPACT OF MALICIOUS USERS IN ........................................................ 2558CLOSED-LOOP MULTIUSER MIMO SYSTEMSAmitav Mukherjee, Lee Swindlehurst, University of California, Irvine, United States

SAM-L3.5: JOINT TRANSMIT BEAMFORMING AND ARTIFICIAL NOISE DESIGN FOR QOS ........................... 2562DISCRIMINATION IN WIRELESS DOWNLINKWei-Cheng Liao, Tsung-Hui Chang, National Tsing Hua University, Taiwan; Wing-Kin Ma, Chinese University of Hong Kong, Hong Kong SAR of China; Chong-Yung Chi, National Tsing Hua University, Taiwan

SAM-L3.6: OPTIMAL PHASE-SHIFTER DESIGN TO CANCEL RF INTERFERENCE IN ........................................ 2566MULTI-ANTENNA SYSTEMSVijay Venkateswaran, TU-Delft, Netherlands; Alle-Jan van der Veen, Delft University of Technology, Netherlands

SAM-L4: DETECTION AND ESTIMATION

SAM-L4.1: ZIV-ZAKAI BOUNDS FOR TIME DELAY ESTIMATION WITH FREQUENCY ..................................... 2570HOPPING AND MULTICARRIER SIGNALS IN WIDEBAND RANDOM CHANNELSBrian Sadler, Army Research Laboratory, United States; Ning Liu, Zhengyuan Xu, University of California, Riverside, United States

SAM-L4.2: KNOWLEDGE-AIDED BAYESIAN COVARIANCE MATRIX ESTIMATION IN ..................................... 2574COMPOUND-GAUSSIAN CLUTTERFrancesco Bandiera, Università del Salento, Italy; Olivier Besson, Université de Toulouse - ISAE, France; Giuseppe Ricci, Università del Salento, Italy

SAM-L4.3: MIMO RADAR DETECTION UNDER PHASE SYNCHRONIZATION ERRORS ...................................... 2578Murat Akcakaya, Arye Nehorai, Washington University in St. Louis, United States

SAM-L4.4: SLOW-TIME MULTI-FREQUENCY RADAR FOR TARGET DETECTION IN ........................................ 2582MULTIPATH SCENARIOSSatyabrata Sen, Arye Nehorai, Washington University in St. Louis, United States

SAM-L4.5: ENERGY COST FOR ESTIMATION IN MULTIHOP WIRELESS SENSOR ............................................. 2586NETWORKSYi Huang, Yingbo Hua, University of California, Riverside, United States

SAM-P1: DIRECTION OF ARRIVAL ESTIMATION

SAM-P1.1: DISTRIBUTED BEARING ESTIMATION VIA MATRIX COMPLETION................................................... 2590Andrew Waters, Volkan Cevher, Rice University, United States

SAM-P1.2: PERFORMANCE BREAKDOWN PREDICTION FOR MAXIMUM-LIKELIHOOD ................................. 2594DOA ESTIMATIONYuri I. Abramovich, Defence Science and Technology Organisation, Australia; Ben A. Johnson, Lockheed Martin Australia Electronic Systems Pty Ltd, Australia

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SAM-P1.3: ANALYTICAL PERFORMANCE ASSESSMENT FOR MULTI-DIMENSIONAL ..................................... 2598TENSOR-ESPRIT-TYPE PARAMETER ESTIMATION ALGORITHMSFlorian Roemer, Hanna Becker, Martin Haardt, TU Ilmenau, Germany

SAM-P1.4: ITERATIVE HOS-SOS (IHOSS) BASED SENSOR LOCALIZATION AND ................................................ 2602DIRECTION-OF-ARRIVAL ESTIMATIONMetin Aktas, T. Engin Tuncer, Middle East Technical University, Turkey

SAM-P1.5: A NOVEL ARRAY STRUCTURE FOR DIRECTIONS-OF-ARRIVAL ESTIMATION .............................. 2606WITH INCREASED DEGREES OF FREEDOMPiya Pal, P. P. Vaidyanathan, California Institute of Technology, United States

SAM-P1.6: MULTIPLE-MEASUREMENT BAYESIAN COMPRESSED SENSING USING GSM ............................... 2610PRIORS FOR DOA ESTIMATIONGeorge Tzagkarakis, Dimitris Milioris, Panagiotis Tsakalides, University of Crete & Foundation for Research and Technology-Hellas, Greece

SAM-P1.7: AN IDFT-BASED ROOT-MUSIC FOR ARBITRARY ARRAYS ..................................................................... 2614Jie Zhuang, Wei Li, Athanassios Manikas, Imperial College London, United Kingdom

SAM-P1.8: DIRECTION-OF-ARRIVAL AND SPATIAL SIGNATURE ESTIMATION IN ANTENNA ....................... 2618ARRAYS WITH PAIRWISE SENSOR CALIBRATIONPouyan Parvazi, Alex Gershman, Technische Universität Darmstadt, Germany

SAM-P1.9: DIRECTION-OF-ARRIVAL ESTIMATION USING DISTRIBUTED ARRAYS: A .................................... 2622CANONICAL COORDINATES PERSPECTIVE WITH LIMITED ARRAY SIZE AND SAMPLE SUPPORTXiaoli Wang, Hongya Ge, New Jersey Institute of Technology, United States; Ivars P. Kirsteins, Naval Undersea Warfare Center, United States

SAM-P1.10: REDUCED-RANK DOA ESTIMATION BASED ON JOINT ITERATIVE SUBSPACE ........................... 2626RECURSIVE OPTIMIZATION AND GRID SEARCHLei Wang, Rodrigo de Lamare, University of York, United Kingdom; Martin Haardt, Ilmenau University of Technology, Germany

SAM-P1.11: VERTICALLY CHALLENGED ARRAY DESIGN FOR DOA ESTIMATION ........................................... 2630George Gera, Bernard Mulgrew, Institute for Digital Communications, The University of Edinburgh, United Kingdom

SAM-P1.12: STATISTICAL ANALYSIS OF CAPON-BARTLETT 2-D CROSS SPECTRUM........................................ 2634Christ Richmond, MIT Lincoln Laboratory, United States

SAM-P2: DETECTION, ESTIMATION, AND SOURCE SEPARATION

SAM-P2.1: SPARSITY PENALIZED RECONSTRUCTION FRAMEWORK FOR BROADBAND .............................. 2638DISPERSION EXTRACTIONShuchin Aeron, Sandip Bose, Henri-Pierre Valero, Schlumberger Technology Corporation, United States; Venkatesh Saligrama, Boston University, United States

SAM-P2.2: RAO-BLACKWELLIZED UNSCENTED KALMAN FILTER FOR NONLINEAR ..................................... 2642SYSTEMS WITH BANDWIDTH CONSTRAINTSManohar Shamaiah, Haris Vikalo, University of Texas at Austin, United States

SAM-P2.3: CRAME´R-RAO BOUND FOR TIME REVERSAL ACTIVE ARRAY DIRECTION OF ........................... 2646ARRIVAL ESTIMATORS IN MULTIPATH ENVIRONMENTSForoohar Foroozan, Amir Asif, York University, Canada

SAM-P2.4: COMPRESSED SENSING FOR BANDWIDTH CONSTRAINED SYSTEMS ............................................... 2650Manohar Shamaiah, Haris Vikalo, University of Texas at Austin, United States

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SAM-P2.5: PARTICLE SWARM OPTIMIZATION BASED CHANNEL IDENTIFICATION IN ................................. 2654CROSS-AMBIGUITY DOMAINMehmet Guldogan, Orhan Arikan, Bilkent University, Turkey

SAM-P2.6: PERFORMANCE ANALYSIS FOR BLIND IDENTIFICATION OF ACOUSTIC ....................................... 2658CHANNELSMajid Fozunbal, Hewlett-Packard Laboratories, United States

SAM-P2.7: AN ONLINE QUASI-NEWTON ALGORITHM FOR BLIND SIMO ............................................................. 2662IDENTIFICATIONEmanuel Habets, Patrick Naylor, Imperial College London, United Kingdom

SAM-P2.8: BLIND EXTRACTION OF SPARSE SOURCES ................................................................................................ 2666Nasser El-Saied, James Reilly, McMaster University, Canada

SAM-P2.9: A NEW METHOD FOR KURTOSIS MAXIMIZATION AND SOURCE SEPARATION ............................ 2670Marc Castella, Institut Telecom / Telecom SudParis, France; Eric Moreau, University of Sud Toulon Var, France

SAM-P2.10: MODIFIED HIERARCHICAL CLUSTERING FOR SPARSE COMPONENT .......................................... 2674ANALYSISNasser El-Saied, James Reilly, McMaster University, Canada

SAM-P2.11: REVERBERATED SPEECH SIGNAL SEPARATION BASED ON REGULARIZED ............................... 2678SUBBAND FEEDFORWARD ICA AND INSTANTANEOUS DIRECTION OF ARRIVALLae-Hoon Kim, University of Illinois at Urbana-Champaign, United States; Ivan Tashev, Alex Acero, Microsoft Research, United States

SAM-P2.12: SUBOPTIMAL SPACE-FREQUENCY WAVEFORM DESIGN FOR MIMO-OFDM ............................... 2682SYSTEMSYoav Eisenberg, Joseph Tabrikian, Reuven Shavit, Ben-Gurion University of the Negev, Israel

SAM-P2.13: A SYMMETRIC ADAPTIVE ALGORITHM FOR SPEEDING-UP CONSENSUS ..................................... 2686Babak Hassibi, Elizabeth Bodine, Daniel Thai, California Institute of Technology, United States

SAM-P2.14: FREQUENCY-BASED DETECTOR FOR IMPROVED RESOLVABILITY OF ........................................ 2690CLOSELY-SPACED EXPONENTIAL SIGNALSYekutiel Avargel, Israel Cohen, Technion - Israel Institute of Technology, Israel

SAM-P3: SOURCE LOCALIZATION

SAM-P3.1: PERFORMANCE OF SHOCKWAVE-BASED SHOOTER LOCALIZATION UNDER ............................. 2694MODEL MISSPECIFICATIONJoshua Ash, Ohio State University, United States; Gene Whipps, US Army Research Lab, United States; Richard Kozick, Bucknell University, United States

SAM-P3.2: A CONVEX RELAXATION FOR APPROXIMATE MAXIMUM-LIKELIHOOD 2D ................................ 2698SOURCE LOCALIZATION FROM RANGE MEASUREMENTSPinar Oguz Ekim, João Pedro Gomes, João Xavier, Paulo Oliveira, Institute for Systems and Robotics - Instituto Superior Tecnico, Portugal

SAM-P3.3: ON USING MULTIPLE CALIBRATION EMITTERS AND THEIR GEOMETRIC ................................... 2702EFFECTS FOR REMOVING SENSOR POSITION ERRORS IN TDOA LOCALIZATIONLe Yang, K.C. Ho, University of Missouri, United States

SAM-P3.4: INTEGRATING MONAURAL AND BINAURAL ANALYSIS FOR LOCALIZING ................................... 2706MULTIPLE REVERBERANT SOUND SOURCESJohn Woodruff, DeLiang Wang, Ohio State University, United States

SAM-P3.5: MAP-PF WIDEBAND MULTITARGET AND COLORED NOISE TRACKING .......................................... 2710Kristine Bell, Robert Zarnich, Rebecca Wasyk, Metron, Inc., United States

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SAM-P3.6: RANGING ENERGY OPTIMIZATION FOR ROBUST SENSOR POSITIONING ..................................... 2714WITH COLLABORATIVE ANCHORSTao Wang, Geert Leus, Delft University of Technology, Netherlands

SAM-P3.7: R-MEANS LOCALIZATION: A SIMPLE ITERATIVE ALGORITHM FOR .............................................. 2718RANGE-DIFFERENCE-BASED SOURCE LOCALIZATIONNobutaka Ono, Shigeki Sagayama, University of Tokyo, Japan

SAM-P3.8: MULTIPLE ACOUSTIC SOURCE LOCALIZATION BASED ON MULTIPLE ......................................... 2722HYPOTHESES TESTING USING PARTICLE APPROACHYeongseon Lee, Ted Wada, Biing Hwang (Fred) Juang, Georgia Institute of Technology, United States

SAM-P3.9: AN ALTERNATE APPROACH TO ADAPTIVE BEAMFORMING USING SRP-PHAT ............................ 2726Avram Levi, Harvey Silverman, Brown University, United States

SAM-P3.10: SUPPORT RECOVERY FOR SOURCE LOCALIZATION BASED ON ..................................................... 2730OVERCOMPLETE SIGNAL REPRESENTATIONGongguo Tang, Arye Nehorai, Washington University in St. Louis, United States

SAM-P3.11: NEAR-FIELD ADAPTIVE BEAMFORMING AND SOURCE LOCALIZATION IN ................................ 2734THE SPACETIME FREQUENCY DOMAINFrancisco Pinto, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SAM-P3.12: SIGNIFICANCE OF THE MUSIC-GROUP DELAY SPECTRUM IN SPEECH ........................................ 2738ACQUISITION FROM DISTANT MICROPHONESMrityunjaya Shukla, Rajesh Hegde, Indian Institute of Technology, Kanpur, India

SAM-P4: STAP AND RADAR ARRAY PROCESSING

SAM-P4.1: KNOWLEDGE-AIDED STAP ALGORITHM USING CONVEX COMBINATION OF .............................. 2742INVERSE COVARIANCE MATRICES FOR HETEROGENOUS CLUTTERRui Fa, Rodrigo de Lamare, University of York, United Kingdom; Vitor Nascimento, University of Sao Paulo, Brazil

SAM-P4.2: PERFORMANCE ANALYSIS OF A ROBUST LOW-RANK STAP FILTER IN ......................................... 2746LOW-RANK GAUSSIAN CLUTTERGuillaume Ginolhac, Philippe Forster, ENS Cachan, France

SAM-P4.3: ANGLE-DOPPLER PROCESSING USING SPARSE REGULARIZATION.................................................. 2750Ivan Selesnick, S. Unnikrishna Pillai, Polytechnic Institute of New York University, United States; Ke Yong Li, C & P Technologies, Inc., United States; Braham Himed, Air Force Research Laboratory, United States

SAM-P4.4: FIXED-POINT BASED AUTOREGRESSIVE PARAMETER ESTIMATION FOR .................................... 2754SPACE TIME ADAPTIVE PROCESSINGJulien Petitjean, Thales systèmes aéroportés, France; Eric Grivel, IMS Université Bordeaux 1 / ENSEIRB, France; Patrick Roussilhe, Thales systèmes aéroportés, France

SAM-P4.5: THE ROLE OF AMBIGUITY FUNCTION IN COMPRESSED SENSING RADAR ..................................... 2758Xiufeng Song, Shengli Zhou, Peter Willett, University of Connecticut, United States

SAM-P4.6: KNOWLEDGE-AIDED REDUCED-RANK STAP FOR MIMO RADAR BASED ON ................................. 2762JOINT ITERATIVE CONSTRAINED OPTIMIZATION OF ADAPTIVE FILTERS WITH MULTIPLE CONSTRAINTSRui Fa, Rodrigo de Lamare, University of York, United Kingdom

SAM-P4.7: TARGET DETECTION IN MIMO RADAR IN THE PRESENCE OF DOPPLER ....................................... 2766USING COMPLEMENTARY SEQUENCESTariq Qureshi, Michael Zoltowski, Purdue University, United States; Robert Calderbank, Princeton University, United States

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SAM-P4.8: ITERATIVE DESIGN OF MIMO RADAR TRANSMIT WAVEFORMS AND RECEIVE ......................... 2770FILTER BANKYongchao Wang, Hongwei Liu, Xidian University, China; Zhiquan (Tom) Luo, University of Minnesota, United States

SAM-P4.9: A NEW FRACTIONAL FOURIER TRANSFORM BASED MONOPULSE TRACKING ........................... 2774RADAR PROCESSORSherif Elgamel, John Soraghan, University of Strathclyde, United Kingdom

SAM-P4.10: RADAR-BASED HUMAN DETECTION VIA ORTHOGONAL MATCHING PURSUIT.......................... 2778Sevgi Zübeyde Gürbüz, William L. Melvin, Douglas B. Williams, Georgia Institute of Technology, United States

SAM-P4.11: BAYESIAN RAO AND WALD TEST FOR RADAR ADAPTIVE DETECTION ......................................... 2782Yu Zhou, Lin-rang Zhang, Key Lab of Radar Signal Processing, Xidian University, China

SAM-P4.12: ROBUST MIMO RADAR DETECTION FOR CORRELATED SUBARRAYS ........................................... 2786Chin Yuan Chong, Frédéric Pascal, SONDRA, France; Jean-Philippe Ovarlez, Marc Lesturgie, ONERA/SONDRA, France

SAM-P5: APPLICATIONS OF SENSOR ARRAY AND MULTICHANNEL PROCESSING

SAM-P5.1: BEAMFORMER DESIGN FOR RADIO ASTRONOMICAL PHASED ARRAY FEEDS............................. 2790Michael Elmer, Brian D. Jeffs, Brigham Young University, United States

SAM-P5.2: EFFICIENT GAMMA-RAY SIGNAL DECOMPOSITION ANALYSIS BASED ON ................................... 2794ORTHONORMAL TRANSFORMATION AND FIXED POLESSergio Zimmermann, Dionisio Doering, Lawrence Berkeley National Laboratory, United States

SAM-P5.3: A SPARSITY-DRIVEN JOINT IMAGE REGISTRATION AND CHANGE ................................................. 2798DETECTION TECHNIQUE FOR SAR IMAGERYLam Nguyen, U.S. Army Research Laboratory, United States; Trac Tran, The Johns Hopkins University, United States

SAM-P5.4: SPREAD SPECTRUM FOR INTERFEROMETRIC AND MAGNETIC RESONANCE ............................. 2802IMAGINGGilles Puy, Yves Wiaux, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van de Ville, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SAM-P5.5: THROUGH-THE-WALL RADAR IMAGING USING COMPRESSIVE SENSING .................................... 2806ALONG TEMPORAL FREQUENCY DOMAINYeo-Sun Yoon, Samsung Thales, Republic of Korea; Moeness Amin, Villanova University, United States

SAM-P5.6: MULTIPLE-FREQUENCY INTERFEROMETRIC VELOCITY SAR LOCATION ................................... 2810AND IMAGING OF ELEVATED MOVING TARGETXiaowei Li, Xiang-Gen Xia, University of Delaware, United States

SAM-P5.7: CLUSTERING OF AD-HOC MICROPHONE ARRAYS FOR ROBUST BLIND ......................................... 2814BEAMFORMINGIvan Himawan, Iain McCowan, Sridha Sridharan, Queensland University of Technology, Australia

SAM-P5.8: DESIGNING THE WIENER POST-FILTER FOR DIFFUSE NOISE ............................................................ 2818SUPPRESSION USING IMAGINARY PARTS OF INTER-CHANNEL CROSS-SPECTRANobutaka Ito, University of Tokyo, Japan and IRISA-INRIA, France; Nobutaka Ono, University of Tokyo, Japan; Emmanuel Vincent, IRISA-INRIA, France; Shigeki Sagayama, University of Tokyo, Japan

SAM-P5.9: GEOMETRIC RECONSTRUCTION OF THE ENVIRONMENT FROM ITS ............................................. 2822RESPONSE TO MULTIPLE ACOUSTIC EMISSIONSFabio Antonacci, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy

SAM-P5.10: AUTOMATIC MATCHED FILTER RECOVERY VIA THE AUDIO CAMERA ....................................... 2826Adam E. O’Donovan, Ramani Duraiswami, Dmitry N. Zotkin, University of Maryland, College Park, United States

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SAM-P5.11: HMM-BASED SEPARATION OF ACOUSTIC TRANSFER FUNCTION FOR ......................................... 2830SINGLE-CHANNEL SOUND SOURCE LOCALIZATIONRyoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki, Kobe University, Japan

SAM-P5.12: AN EFFICIENT MICROPHONE ARRAY BASED VOICE ACTIVITY DETECTOR .............................. 2834FOR DRIVER’S SPEECH IN NOISE AND MUSIC RICH IN-VEHICLE ENVIRONMENTTao Yu, John Hansen, University of Texas at Dallas, United States

SAM-P6: SENSOR NETWORKS I: LOCALIZATION AND COOPERATIVE COMMUNICATION

SAM-P6.1: LIMITED FEEDBACK WITH JOINT CSI QUANTIZATION FOR MULTICELL ..................................... 2838COOPERATIVE GENERALIZED EIGENVECTOR BEAMFORMINGRamya Bhagavatula, Robert Heath, University of Texas at Austin, United States; Bhaskar Rao, University of California, San Diego, United States

SAM-P6.2: WIRELESS SOURCE LOCALIZATION BASED ON TIME OF ARRIVAL ................................................ 2842MEASUREMENTEnyang Xu, Zhi Ding, University of California, Davis, United States; Soura Dasgupta, University of Iowa, United States

SAM-P6.3: AN EFFICIENT RANGING METHOD FOR WIRELESS SENSOR NETWORKS....................................... 2846Chen Wang, Qinye Yin, Wenjie Wang, Xi’an Jiaotong University, China

SAM-P6.5: LOCALIZATION BIAS CORRECTION IN N-DIMENSIONAL SPACE ....................................................... 2854Yiming Ji, Changbin Yu, Brian Anderson, Australian National University, Australia

SAM-P6.6: DISTORTION EXPONENTS OF SOURCE TRANSMISSION OVER TWO-WAY ..................................... 2858RELAYING COOPERATIVE NETWORKSJing Wang, Jie Liang, Simon Fraser University, Canada

SAM-P6.7: DISTRIBUTED TDOA ESTIMATION FOR WIRELESS SENSOR NETWORKS........................................ 2862Weile Zhang, Qinye Yin, Wenjie Wang, Xi’an Jiaotong University, China

SAM-P6.8: ON DISTANCE RECONSTRUCTION FOR SENSOR NETWORK LOCALIZATION ............................... 2866Phillip Regalia, Jing Wang, Catholic University of America, United States

SAM-P6.9: COOPERATIVE BEAMFORMING IN MULTI-SOURCE MULTI-DESTINATION .................................. 2870RELAY SYSTEMS WITH SINR CONSTRAINTSYupeng Liu, Athina Petropulu, Drexel University, United States

SAM-P6.10: ON PROLONGING LIFE-TIME IN WIRELESS SENSOR NETWORKS WITH ...................................... 2874APPLICATION IN LOCALIZATION: A COALITIONAL GAME-THEORETIC APPROACHOmid Namvar Gharehshiran, Vikram Krishnamurthy, University of British Columbia, Canada

SAM-P6.11: MULTIPOINT-TO-POINT AND POINT-TO-MULTIPOINT SPACE-TIME ............................................. 2878NETWORK CODINGHung-Quoc Lai, US Army RDECOM CERDEC, United States; K. J. Ray Liu, University of Maryland, United States

SAM-P6.12: FULL-RATE AND FULL-DIVERSITY EXTENDED ORTHOGONAL SPACE-TIME ............................. 2882BLOCK CODING IN COOPERATIVE RELAY NETWORKS WITH IMPERFECT SYNCHRONIZATIONF. T. Alotaibi, J. A. Chambers, Loughborough University, United Kingdom

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SAM-P7: SENSOR NETWORKS II: DISTRIBUTED ESTIMATION

SAM-P7.1: TEXAS HOLD ‘EM ALGORITHMS FOR DISTRIBUTED COMPRESSIVE .............................................. 2886SENSINGStephen Schnelle, Jason Laska, Chinmay Hegde, Rice University, United States; Marco Duarte, Princeton University, United States; Mark Davenport, Richard Baraniuk, Rice University, United States

SAM-P7.2: A GENERAL FORMALISM FOR THE ANALYSIS OF DISTRIBUTED ..................................................... 2890ALGORITHMSOndrej Sluciak, Thibault Hilaire, Markus Rupp, Technical University Vienna, Austria

SAM-P7.3: DISTRIBUTED DETECTION OVER FADING MACS WITH MULTIPLE ................................................. 2894ANTENNAS AT THE FUSION CENTERMahesh Banavar, Arizona State University, United States; Anthony Smith, L-3 Communications, United States; Cihan Tepedelenlioglu, Andreas Spanias, Arizona State University, United States

SAM-P7.4: A STUDY OF HYPERPLANE-BASED VECTOR QUANTIZATION FOR ................................................... 2898DISTRIBUTED ESTIMATIONJun Fang, Hongbin Li, Stevens Institute of Technology, United States

SAM-P7.5: UNIDIRECTIONAL GRAPH-BASED WAVELET TRANSFORMS FOR EFFICIENT .............................. 2902DATA GATHERING IN SENSOR NETWORKSSunil K. Narang, Godwin Shen, Antonio Ortega, University of Southern California, United States

SAM-P7.6: DYNAMIC BIT ALLOCATION FOR TARGET TRACKING IN SENSOR .................................................. 2906NETWORKS WITH QUANTIZED MEASUREMENTSOnur Ozdemir, ANDRO Computational Solutions, LLC, United States; Ruixin Niu, Pramod K. Varshney, Syracuse University, United States

SAM-P7.8: TYPE-BASED MULTIPLE-ACCESS WITH BANDWIDTH EXTENSION FOR THE ............................... 2914DECENTRALIZED ESTIMATION IN WIRELESS SENSOR NETWORKSXin Wang, Chenyang Yang, Beihang University, China

SAM-P7.9: LEAST-SQUARES BASED FEATURE EXTRACTION AND SENSOR FUSION FOR .............................. 2918EXPLOSIVE DETECTIONNarayan Kovvali, Arizona State University, United States; Chad Prior, Karel Cizek, Michal Galik, University of California, San Diego, United States; Alvaro Diaz, Erica Forzani, Avi Cagan, Arizona State University, United States; Joseph Wang, University of California, San Diego, United States; Nongjian Tao, Douglas Cochran, Andreas Spanias, Arizona State University, United States; Ray Tsui, Raydis LLC, United States

SAM-P7.10: MAXIMIZING THE LIFETIME OF CLUSTERS WITH SLEPIAN-WOLF ............................................... 2922CODINGTianqi Wang, Wendi Heinzelman, Alireza Seyedi, Azadeh Vosoughi, University of Rochester, United States

SAM-P7.11: DISTRIBUTED RECONSTRUCTION OF TIME-VARYING SPATIAL FIELDS ..................................... 2926BASED ON CONSENSUS PROPAGATIONValentin Schwarz, Gerald Matz, Vienna University of Technology, Austria

SPED-L1: SIGNAL PROCESSING EDUCATION

SPED-L1.1: ADVERTISE YOUR A/D CONVERTER, A SP TEACHING STRATEGY ................................................... 2930Roxana Saint-Nom, Buenos Aires Institute of Technology, Argentina

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SPED-L1.2: SOFTWARE DEFINED RADIO: INEXPENSIVE HARDWARE AND SOFTWARE ................................ 2934TOOLSThad Welch, Boise State University, United States; Cameron Wright, University of Wyoming, United States; Michael Morrow, University of Wisconsin-Madison, United States

SPED-L1.3: A “RESEARCH EXPERIENCE FOR UNDERGRADUATES” IN SIGNAL ................................................ 2938PROCESSING,CODING AND COMMUNICATIONSTodd Moon, Jacob Gunther, Utah State University, United States

SPED-L1.4: BUILDING A WEB PLATFORM FOR LEARNING ADVANCED DIGITAL ............................................ 2942COMMUNICATIONS USING A MIMO TESTBEDLuis Vielva, Javier Vía, Jesús Gutiérrez, Óscar González, Jesús Ibáñez, Ignacio Santamaría, University of Cantabria, Spain

SPCOM-L1: SPECTRUM SENSING FOR COGNITIVE RADIO I

SPCOM-L1.1: TWO-STAGE SPECTRUM SENSING FOR COGNITIVE RADIOS ......................................................... 2946Sina Maleki, Delft University of Technology, Netherlands; Ashish Pandharipande, Philips Research, Netherlands; Geert Leus, Delft University of Technology, Netherlands

SPCOM-L1.2: SEQUENTIAL COOPERATIVE SENSING FOR MULTI-CHANNEL .................................................... 2950COGNITIVE RADIOSSeung-Jun Kim, Georgios Giannakis, University of Minnesota, United States

SPCOM-L1.3: MULTIANTENNA SPECTRUM SENSING: DETECTION OF SPATIAL .............................................. 2954CORRELATION AMONG TIME-SERIES WITH UNKNOWN SPECTRADavid Ramirez, Javier Via, Ignacio Santamaria, University of Cantabria, Spain; Roberto Lopez-Valcarce, University of Vigo, Spain; Louis L. Scharf, Colorado State University, United States

SPCOM-L1.4: WIDEBAND SPECTRAL ESTIMATION FROM COMPRESSED ........................................................... 2958MEASUREMENTS EXPLOITING SPECTRAL A PRIORI INFORMATION IN COGNITIVE RADIO SYSTEMSGonzalo Vazquez-Vilar, Roberto Lopez-Valcarce, Carlos Mosquera, Nuria Gonzalez-Prelcic, University of Vigo, Spain

SPCOM-L1.5: SEMI-BLIND LOCALLY OPTIMUM DETECTION FOR SPECTRUM ................................................. 2962SENSING IN COGNITIVE RADIOMarco Cardenas-Juarez, Mounir Ghogho, Ananthram Swami, University of Leeds, United Kingdom

SPCOM-L1.6: ADAPTIVE SPECTRUM SENSING FOR AGILE COGNITIVE RADIOS ............................................... 2966Ali Tajer, Rui Castro, Xiaodong Wang, Columbia University, United States

SPCOM-L2: DISTRIBUTED ESTIMATION IN SENSOR NETWORKS

SPCOM-L2.1: A GREEDY APPROACH TO THE DISTRIBUTED KARHUNEN-LOEVE ............................................ 2970TRANSFORMAlon Amar, Delft University of Technology, Netherlands; Amir Leshem, Bar Ilan University, Israel; Michael Gastpar, University of California, Berkeley, United States

SPCOM-L2.2: CONSENSUS IN CORRELATED RANDOM TOPOLOGIES: WEIGHTS FOR .................................... 2974FINITE TIME HORIZONDusan Jakovetic, Instituto Superior Tecnico, Portugal and Carnegie Mellon University, United States; João Xavier, Instituto Superior Técnico, Portugal; José M F Moura, Carnegie Mellon University, United States

SPCOM-L2.3: DISTRIBUTED LASSO FOR IN-NETWORK LINEAR REGRESSION ................................................... 2978Juan Andres Bazerque, Gonzalo Mateos, Georgios B. Giannakis, University of Minnesota, United States

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SPCOM-L2.4: ASYMPTOTICALLY OPTIMAL POWER-CONSTRAINED DISTRIBUTED ....................................... 2982ESTIMATIONMarco Guerriero, NATO Undersea Research Centre, Italy; Peter Willett, University of Connecticut, United States; Stefano Marano, Vincenzo Matta, University of Salerno, Italy

SPCOM-L2.5: DESIGNING THE PARAMETERS OF HIGH DIMENSIONAL CONSENSUS: ..................................... 2986MULTI-OBJECTIVE OPTIMIZATION AND PARETO-OPTIMALITYUsman Khan, Soummya Kar, Jose Moura, Carnegie Mellon University, United States

SPCOM-L2.6: DISTRIBUTED ESTIMATION WITH CONSTANT MODULUS SIGNALS ........................................... 2990OVER MULTIPLE ACCESS CHANNELSCihan Tepedelenlioglu, Adarsh Narasimhamurthy, Arizona State University, United States

SPCOM-L3: COGNITIVE RADIO, RESOURCE ALLOCATION, AND GAME THEORY

SPCOM-L3.1: DESIGN OF COGNITIVE RADIO SYSTEMS UNDER ............................................................................. 2994TEMPERATURE-INTERFERENCE CONSTRAINTS: A VARIATIONAL INEQUALITY APPROACHJong-Shi Pang, University of Illinois at Urbana-Champaign, United States; Gesualdo Scutari, Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China; Francisco Fracchinei, Sapienza Univ. of Rome, Italy

SPCOM-L3.2: COMPETITIVE SPECTRUM SHARING IN SYMMETRIC FADING CHANNEL ............................... 2998WITH INCOMPLETE INFORMATIONYair Noam, Tel-Aviv University, Israel; Amir Leshem, Bar-Ilan University, Israel; Hagit Messer, Tel-Aviv University, Israel

SPCOM-L3.3: CONCAVE RESOURCE ALLOCATION PROBLEMS FOR INTERFERENCE ................................... 3002COUPLED WIRELESS SYSTEMSHolger Boche, Siddharth Naik, Technical University of Berlin, Germany; Tansu Alpcan, Deutsche Telekom Laboratories, Germany

SPCOM-L3.4: A STACKELBERG GAME APPROACH TO DISTRIBUTED SPECTRUM ........................................... 3006MANAGEMENTMeisam Razaviyayn, Yao Morin, Zhi-Quan Luo, University of Minnesota, United States

SPCOM-L3.5: DISTRIBUTED LEARNING IN COGNITIVE RADIO NETWORKS: ..................................................... 3010MULTI-ARMED BANDIT WITH DISTRIBUTED MULTIPLE PLAYERSKeqin Liu, Qing Zhao, University of California, Davis, United States

SPCOM-L3.6: DISTRIBUTED JOINT POWER AND ADMISSION CONTROL FOR AD-HOC .................................. 3014AND COGNITIVE UNDERLAY NETWORKSIoannis Mitliagkas, Nicholas Sidiropoulos, Technical University of Crete, Greece; Ananthram Swami, Army Research Laboratory, United States

SPCOM-L4: RELAY AND COOPERATIVE SYSTEMS I

SPCOM-L4.1: A SPECTRALLY EFFICIENT NONORTHOGONAL AMPLIFY-AND-FORWARD ............................ 3018PROTOCOL FOR COOPERATIVE WIRELESS NETWORKSKefei Lu, Jing Liu, Xiaodong Cai, University of Miami, United States

SPCOM-L4.2: ADAPTIVE TRANSMIT ANTENNA SELECTION IN MIMO .................................................................. 3022AMPLIFY-AND-FORWARD RELAY CHANNELSKien Truong, Robert Heath, University of Texas at Austin, United States

SPCOM-L4.3: TWO-WAY RELAYING FOR ENERGY CONSTRAINED SYSTEMS: JOINT ..................................... 3026TRANSMIT POWER OPTIMIZATIONYupeng Jia, Azadeh Vosoughi, University of Rochester, United States

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SPCOM-L4.4: RANDOMIZED SPACE-TIME BLOCK CODING FOR DISTRIBUTED ................................................ 3030AMPLIFY-AND-FORWARD COOPERATIVE RELAYSFrancesco Verde, University Federico II, Naples, Italy; Anna Scaglione, University of California, Davis, United States

SPCOM-L4.5: DISTRIBUTED BEAMFORMING AND MODE SELECTION BASED ON ............................................ 3034INSTANTANEOUS SYSTEM THROUGHPUTJingon Joung, Institute for Inforcomm Research (I2R), Singapore; Ali H. Sayed, University of California, Los Angeles, United States

SPCOM-L4.6: SOURCE-RELAY OPTIMIZATION FOR A TWO-WAY MIMO RELAY SYSTEM ............................. 3038Shengyang Xu, Yingbo Hua, University of California, Riverside, United States

SPCOM-L5: BEAMFORMING AND MIMO I

SPCOM-L5.1: SECRECY RATE MAXIMIZATION OF A MISO CHANNEL WITH MULTIPLE ............................... 3042MULTI-ANTENNA EAVESDROPPERS VIA SEMIDEFINITE PROGRAMMINGQiang Li, Wing-Kin Ma, Chinese University of Hong Kong, Hong Kong SAR of China

SPCOM-L5.2: OUTAGE-OPTIMAL TRANSMISSION IN MULTIUSER-MIMO KRONECKER ................................ 3046CHANNELSSagnik Ghosh, Bhaskar Rao, James Zeidler, University of California, San Diego, United States

SPCOM-L5.3: FEEDBACK REDUCTION IN MIMO BROADCAST CHANNELS WITH ............................................. 3050LMMSE RECEIVERSMatthew Pugh, Bhaskar Rao, University of California, San Diego, United States

SPCOM-L5.4: LIMITED FEEDBACK BEAMFORMING FOR TEMPORALLY CORRELATED ............................... 3054MIMO CHANNELS WITH OTHER CELL INTERFERENCESalam Akoum, Robert Heath, University of Texas at Austin, United States

SPCOM-L5.5: MINIMAL ANTENNA-SUBSET SELECTION UNDER CAPACITY CONSTRAINT ........................... 3058FOR POWER-EFFICIENT MIMO SYSTEMS: A RELAXED L1 MINIMIZATION APPROACHMasahiro Yukawa, RIKEN Brain Science Institute, Japan; Isao Yamada, Tokyo Institute of Technology, Japan

SPCOM-L5.6: A DUAL PERSPECTIVE ON SEPARABLE SEMIDEFINITE PROGRAMMING ................................. 3062WITH APPLICATIONS TO OPTIMAL BEAMFORMINGYongwei Huang, Daniel P. Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China

SPCOM-L6: COMMUNICATIONS OVER TIME-VARYING CHANNELS

SPCOM-L6.1: PRECONDITIONED ITERATIVE INTER-CARRIER INTERFERENCE .............................................. 3066CANCELLATION FOR OFDM RECEPTION IN RAPIDLY VARYING CHANNELSAndrea Ancora, Giuseppe Montalbano, ST-Ericsson, France; Dirk T. M. Slock, EURECOM, France

SPCOM-L6.2: LEARNING IN GAUSSIAN MARKOV RANDOM FIELDS....................................................................... 3070Thomas Riedl, Andrew Singer, Jun Won Choi, University of Illinois at Urbana-Champaign, United States

SPCOM-L6.3: ZF-DFE TRANSCEIVER DESIGN FOR TIME-VARYING MIMO CHANNELS .................................. 3074USING SPACE-TIME GENERALIZED TRIANGULAR DECOMPOSITIONChih-Hao Liu, P. P. Vaidyanathan, California Institute of Technology, United States

SPCOM-L6.4: OPTIMAL BASIS FOR BANDED CHANNEL EQUALIZERS IN OFDM SYSTEM ............................. 3078OVER DOUBLY SELECTIVE CHANNELSShuichi Ohno, Masayoshi Nakamoto, Hiroshima University, Japan

SPCOM-L6.5: MULTICHANNEL-COMPRESSIVE ESTIMATION OF DOUBLY SELECTIVE ................................. 3082CHANNELS IN MIMO-OFDM SYSTEMS: EXPLOITING AND ENHANCING JOINT SPARSITYDaniel Eiwen, University of Vienna, Austria; Georg Tauböck, Franz Hlawatsch, Vienna University of Technology, Austria; Holger Rauhut, University of Bonn, Austria; Nicolai Czink, Telecommunications Research Center Vienna (ftw.), Austria

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SPCOM-L6.6: ADAPTIVE BEAM TRACKING FOR INTERFERENCE ALIGNMENT FOR ...................................... 3086MULTIUSER TIME-VARYING MIMO INTERFERENCE CHANNELSHeejung Yu, Youngchul Sung, Haksoo Kim, Yong H. Lee, Korea Advanced Institute of Science and Technology, Republic of Korea

SPCOM-P1: SPECTRUM SENSING FOR COGNITIVE RADIO II

SPCOM-P1.1: A PERFORMANCE STUDY OF NOVEL SEQUENTIAL ENERGY DETECTION ............................... 3090METHODS FOR SPECTRUM SENSINGNikhil Kundargi, Ahmed Tewfik, University of Minnesota, United States

SPCOM-P1.2: COMPRESSIVE DETECTION FOR WIDE-BAND SPECTRUM SENSING ........................................... 3094Veria Havary-Nassab, Sadiq Hassan, Shahrokh Valaee, University of Toronto, Canada

SPCOM-P1.3: COUNTERING BYZANTINE ATTACKS IN COGNITIVE RADIO NETWORKS ................................. 3098Ankit Rawat, Priyank Anand, Indian Institute of Technology, Kanpur, India; Hao Chen, Pramod Varshney, Syracuse University, United States

SPCOM-P1.4: SPECTRAL COVARIANCE FOR SPECTRUM SENSING, WITH APPLICATION ............................. 3102TO IEEE 802.22Jaeweon Kim, Jeffrey Andrews, University of Texas at Austin, United States

SPCOM-P1.5: AM-SIGNAL DETECTION IN COGNITIVE RADIOS USING FIRST-ORDER .................................... 3106CYCLOSTATIONARITYYi Zhou, Khalid Qaraqe, Erchin Serpedin, Texas A&M University, United States; Octavia Dobre, Memorial University of Newfoundland, Canada

SPCOM-P1.6: SPECTRUM SENSING OF ORTHOGONAL SPACE-TIME BLOCK CODED ...................................... 3110SIGNALS WITH MULTIPLE RECEIVE ANTENNASErik Axell, Erik G. Larsson, Linköping University, Sweden

SPCOM-P1.7: COLLABORATIVE SPECTRUM SENSING FROM SPARSE OBSERVATIONS ................................. 3114USING MATRIX COMPLETION FOR COGNITIVE RADIO NETWORKSJia (Jasmine) Meng, University of Houston, United States; Wotao Yin, Rice University, United States; Husheng Li, University of Tennessee, Knoxville, United States; Ekram Hossain, University of Manitoba, Canada; Zhu Han, University of Houston, United States

SPCOM-P1.8: TWO-STAGE SPECTRUM DETECTION IN COGNITIVE RADIO NETWORKS ................................ 3118Siavash Fazeli-Dehkordy, Konstantinos Plataniotis, Subbarayan Pasupathy, University of Toronto, Canada

SPCOM-P1.9: PARAMETER ESTIMATION OF MULTIPLE PULSE TRAINS FOR .................................................... 3122ILLUMINATION SENSINGHongming Yang, Eindhoven University of Technology, Netherlands; Tim Schenk, Philips Research Europe - Eindhoven, Netherlands; Jan Bergmans, Eindhoven University of Technology, Netherlands; Ashish Pandharipande, Philips Research Europe - Eindhoven, Netherlands

SPCOM-P1.10: BANDWIDTH EFFICIENT COMBINATION FOR COOPERATIVE ................................................... 3126SPECTRUM SENSING IN COGNITIVE RADIO NETWORKSXiangwei Zhou, Geoffrey Li, Georgia Institute of Technology, United States; Dongdong Li, Dandan Wang, Anthony Soong, Huawei Technologies, United States

SPCOM-P1.11: DIVERSITY-BASED SPECTRUM SENSING POLICY FOR DETECTING ......................................... 3130PRIMARY SIGNALS OVER MULTIPLE FREQUENCY BANDSJan Oksanen, Visa Koivunen, Jarmo Lundén, Helsinki University of Technology, Finland; Anu Huttunen, Nokia, Finland

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SPCOM-P2: RESOURCE ALLOCATION AND GAME THEORY

SPCOM-P2.1: EFFICIENT WEIGHTED-SUM-RATE MAXIMIZATION FOR A CLASS OF ...................................... 3134HALF-DUPLEX COOPERATIVE SYSTEMSWessam Mesbah, Texas A&M University at Qatar, Qatar; Timothy Davidson, McMaster University, Canada

SPCOM-P2.2: ADMISSION CONTROL FOR AUTONOMOUS WIRELESS LINKS WITH ......................................... 3138POWER CONSTRAINTSMichal Kaliszan, Slawomir Stanczak, Fraunhofer German-Sino Lab for Mobile Communications MCI, Germany; Nicholas Bambos, Stanford University, United States

SPCOM-P2.3: APPLICATION OF GRADIENT ALGORITHM FOR OPTIMIZING POWER ..................................... 3142ALLOCATION IN DSL SYSTEMSAli Kalakech, Jerome Louveaux, Luc Vandendorpe, Université catholique de Louvain, Belgium

SPCOM-P2.4: PARETO-OPTIMAL SOLUTIONS OF NASH BARGAINING RESOURCE .......................................... 3146ALLOCATION GAMES WITH SPECTRAL MASK AND TOTAL POWER CONSTRAINTSJie Gao, Sergiy Vorobyov, Hai Jiang, University of Alberta, Canada

SPCOM-P2.6: STOCHASTIC CROSS-LAYER RESOURCE ALLOCATION FOR WIRELESS .................................. 3154NETWORKS USING ORTHOGONAL ACCESS: OPTIMALITY AND DELAY ANALYSISAntonio G. Marques, Rey Juan Carlos University, Spain; Georgios B. Giannakis, University of Minnesota, United States; Javier Ramos, Rey Juan Carlos University, Spain

SPCOM-P2.7: ROBUST RATE-MAXIMIZATION GAME UNDER BOUNDED CHANNEL ........................................ 3158UNCERTAINTYAmod J.G. Anandkumar, Loughborough University, United Kingdom; Animashree Anandkumar, Massachusetts Institute of Technology, United States; Sangarapillai Lambotharan, Jonathon Chambers, Loughborough University, United Kingdom

SPCOM-P2.8: RANDOMIZED DECENTRALIZED “GOOD NEIGHBOR” DSA BASED ON ...................................... 3162ADAPTIVE ANTENNA ARRAY INTERFERENCE MITIGATION DIVERSITYAlexandr Kuzminskiy, Alcatel-Lucent, United Kingdom; Yuri Abramovich, Defence Science and Technology Organization, Australia

SPCOM-P2.9: SPATIAL RESOURCE ALLOCATION FOR THE MULTIUSER MULTICARRIER ........................... 3166MIMO BROADCAST CHANNEL - A QOS OPTIMIZATION PERSPECTIVEChristian Guthy, Wolfgang Utschick, Technische Universität München, Germany; Guido Dietl, DOCOMO Communications Laboratories Europe, Germany

SPCOM-P2.10: A NOVEL APPROACH FOR POWER-CONTROL IN A MULTI-USER DATA .................................. 3170TRANSMISSION SYSTEMJoachim Schenk, Technische Universität München, Germany; Heinrich Schenk, Infineon Technologies AG, Germany

SPCOM-P2.11: ACTIVE COOPERATION BETWEEN PRIMARY USERS AND COGNITIVE ................................... 3174RADIO USERS IN COGNITIVE AD-HOC NETWORKSWeifeng Su, State University of New York at Buffalo, United States; John Matyjas, Air Force Research Laboratory, United States; Stella Batalama, State University of New York at Buffalo, United States

SPCOM-P2.12: JOINT ITERATIVE POWER ALLOCATION AND INTERFERENCE ................................................ 3178SUPPRESSION ALGORITHMS FOR COOPERATIVE SPREAD SPECTRUM NETWORKSRodrigo de Lamare, University of York, United Kingdom

SPCOM-P3: CHANNEL ESTIMATION AND EQUALIZATION, PRECODING

SPCOM-P3.1: TURBO EQUALIZATION OF TWO-DIMENSIONAL INTERSYMBOL ............................................... 3182INTERFERENCE CHANNELS USING GAUSSIAN BELIEF PROPAGATIONFrederic Lehmann, INSTITUT TELECOM, TELECOM SudParis, France

SPCOM-P3.2: TRAINING SEQUENCE DESIGN FOR JOINT CHANNEL AND I/Q ..................................................... 3186IMBALANCE PARAMETER ESTIMATION IN MOBILE SC-FDE TRANSCEIVERSSudharsan Narayanan, Balachander Narasimhan, Naofal Al-Dhahir, University of Texas at Dallas, United States

SPCOM-P3.3: MIMO-OFDM CHANNEL ESTIMATION IN THE PRESENCE OF I/Q ................................................. 3190IMBALANCE AND PHASE NOISE FOR IEEE 802.11NPayam Rabiei, Won Namgoong, Naofal Al-Dhahir, University of Texas at Dallas, United States

SPCOM-P3.4: LOW COMPLEXITY ITERATIVE DETECTION IN THE PRESENCE OF .......................................... 3194NUISANCE PARAMETERSOnur Oguz, Universite catholique de Louvain, Belgium; Cedric Herzet, Campus universitaire de Beaulieu, France; Luc Vandendorpe, Universite catholique de Louvain, Belgium

SPCOM-P3.5: BLIND MMOE CHANNEL SHORTENING FOR MIMO-OFDM SYSTEMS ......................................... 3198OPERATING OVER HIGHLY FREQUENCY-SELECTIVE CHANNELSDonatella Darsena, Università di Napoli Parthenope, Italy; Giacinto Gelli, Luigi Paura, Francesco Verde, Università degli Studi di Napoli Federico II, Italy

SPCOM-P3.7: A NEW ADAPTIVE TURBO EQUALIZER WITH SOFT INFORMATION ........................................... 3206CLASSIFICATIONKyeongyeon Kim, Jun Won Choi, Andrew Singer, Kyungtae Kim, University of Illinois at Urbana Champaign, United States

SPCOM-P3.8: A BLIND CHANNEL SHORTENING CRITERION BASED ON HIGH-ORDER .................................. 3210CUMULANTSHuy-Dung Han, Zhi Ding, University of California, Davis, United States

SPCOM-P3.9: B-SPLINE BASED JOINT CHANNEL AND FREQUENCY OFFSET ..................................................... 3214ESTIMATION IN DOUBLY-SELECTIVE FADING CHANNELSRami Khal, Yuriy Zakharov, Junruo Zhang, University of York, United Kingdom

SPCOM-P3.10: VARIATIONAL BAYESIAN BLIND ESTIMATION OF SIMO CHANNELS ....................................... 3218Koji Harada, Hideaki Sakai, Kyoto University, Japan

SPCOM-P3.11: EFFICIENT COMPUTATION OF THE REALIZABLE MIMO DFE ..................................................... 3222Sander Wahls, Holger Boche, Technische Universität Berlin, Germany

SPCOM-P3.12: MULTIPATH TIME-OF-ARRIVAL ESTIMATION VIA MODIFIED ................................................... 3226PROJECTION ONTO CONVEX SETSWen-Jun Zeng, Xiamen University, China; Xian-Da Zhang, Tsinghua University, China; Xi-Lin Li, University of Maryland, Baltimore County, United States; En Cheng, Xiamen University, China

SPCOM-P4: RELAY AND COOPERATIVE SYSTEMS II

SPCOM-P4.1: BEST-EFFORT COOPERATIVE COMMUNICATION WITHOUT DEDICATED ............................... 3230RELAYSNate Goergen, K.J. Ray Liu, T. Charles Clancy, University of Maryland, College Park, United States

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SPCOM-P4.2: BIDIRECTIONAL RELAYING INWIRELESS NETWORKS–IMPACT OF .......................................... 3234DEGREE OF COORDINATIONRafael F. Wyrembelski, Igor Bjelakovic, Holger Boche, Technische Universität Berlin, Germany

SPCOM-P4.3: OFDM AMPLIFY-AND-FORWARD TWO-WAY RELAYING FOR MIMO .......................................... 3238MULTIUSER NETWORKSRui Zhao, Luxi Yang, Southeast University, China; Wei-Ping Zhu, Concordia University, Canada; Zhenya He, Southeast University, China

SPCOM-P4.4: PERFORMANCE ANALYSIS AND OPTIMIZATION FOR ARQ ........................................................... 3242DECODE-AND-FORWARD RELAYING PROTOCOL IN FAST FADING CHANNELSSangkook Lee, Weifeng Su, Stella Batalama, State University of New York at Buffalo, United States; John Matyjas, Air Force Research Laboratory, United States

SPCOM-P4.5: FILTER-AND-FORWARD MULTIPLE PEER-TO-PEER BEAMFORMING IN .................................. 3246RELAY NETWORKS WITH FREQUENCY SELECTIVE CHANNELSAdrian Schad, Haihua Chen, Alex Gershman, Darmstadt University of Technology, Germany; Shahram Shahbazpanahi, University of Ontario Institute of Technology, Canada

SPCOM-P4.6: ROBUST BEAMFORMING FOR AMPLIFY-AND-FORWARD MIMO RELAY .................................. 3250SYSTEMS BASED ON QUADRATIC MATRIX PROGRAMMINGChengwen Xing, Shaodan Ma, Yik-Chung Wu, Tung-Sang Ng, University of Hong Kong, Hong Kong SAR of China

SPCOM-P4.7: A LOW-COMPLEXITY RELAY TRANSMIT STRATEGY FOR TWO-WAY ....................................... 3254RELAYING WITH MIMO AMPLIFY AND FORWARD RELAYSFlorian Roemer, Martin Haardt, TU Ilmenau, Germany

SPCOM-P4.8: CHANNEL ALLOCATION FOR COOPERATIVE RELAYS IN COGNITIVE ..................................... 3258RADIO NETWORKSGuodong Zhao, Chenyang Yang, Beihang University, China; Geoffrey Ye Li, Georgia Institute of Technology, United States; Dongdong Li, Anthony Soong, Huawei Technologies USA, United States

SPCOM-P4.9: PERFORMANCE ANALYSIS IN AF/DF RELAY NETWORKS WITH .................................................. 3262STRONG-PATH BEAMFORMINGHyunjun Kim, Cihan Tepedelenlioglu, Arizona State University, United States

SPCOM-P4.10: ENHANCED TRELLIS BASED VECTOR QUANTIZATION FOR ....................................................... 3266COORDINATED BEAMFORMINGChun Kin Au Yeung, Purdue University, United States; Shahab Sanayei, Huawei Technologies, United States

SPCOM-P4.11: TRANSMIT STRATEGIES FOR THE MIMO TWO-WAY AMPLIFY-FORWARD ........................... 3270CHANNEL WITH MULTIPLE RELAYS AND MMSE RECEIVEREduard Jorswieck, Dresden University of Technology, Germany; Aydin Sezgin, Ulm University, Germany

SPCOM-P4.12: ON THE COMPLEXITY OF OPTIMAL COORDINATED DOWNLINK ............................................. 3274BEAMFORMINGYa-Feng Liu, Yu-Hong Dai, State Key Lab. of Scientific and Engineering Computing, China; Zhi-Quan Luo, University of Minnesota, United States

SPCOM-P5: MULTICARRIER COMMUNICATIONS AND OFDM

SPCOM-P5.1: TONE INJECTION WITH AGGRESSIVE CLIPPING PROJECTION FOR .......................................... 3278OFDM PAPR REDUCTIONCagdas Tuna, Douglas L. Jones, University of Illinois at Urbana-Champaign, United States

SPCOM-P5.2: A NOVEL ACTIVE CONSTELLATION EXTENSION ALGORITHM WITH ....................................... 3282LOW PEAK POWER FOR PILOT-AIDED OFDM SYSTEMSKitaek Bae, Edward Powers, University of Texas at Austin, United States

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SPCOM-P5.3: OFDM PEAK TO AVERAGE POWER RATIO REDUCTION USING SPARSE ................................... 3286BIT-PLANE CODINGCheng-Han Sung, Yu Hen Hu, University of Wisconsin-Madison, United States

SPCOM-P5.4: OPTIMIZING FREE SUBCARRIER INDEX TO MINIMIZE .................................................................. 3290PEAK-TO-AVERAGE POWER RATIO FOR OFDM SYSTEMSQijia Liu, Georgia Institute of Technology, United States; Robert J. Baxley, Georgia Tech Research Institute, United States; Xiaoli Ma, G. Tong Zhou, Georgia Institute of Technology, United States

SPCOM-P5.5: TWO NOVEL COMPRESSED-SENSING ALGORITHMS FOR NBI ...................................................... 3294DETECTION IN OFDM SYSTEMSAhmad Gomaa, K.M. Islam, Naofal Al-Dhahir, University of Texas at Dallas, United States

SPCOM-P5.6: ML CO-CHANNEL INTERFERENCE ESTIMATION FROM SINR ....................................................... 3298MEASUREMENTS FOR MULTICELL OFDM DOWNLINK : BOUNDS AND PERFORMANCE ANALYSISLuc Vandendorpe, Jérôme Louveaux, Université catholique de Louvain, Belgium

SPCOM-P5.7: PERFORMANCE COMPARISON OF MIMO-OFDM TRANSMISSION ............................................... 3302SCHEMES IN THE PRESENCE OF I/Q IMBALANCE AND PHASE NOISE WITH PPLICATION TO IEEE 802.11NPayam Rabiei, Won Namgoong, Naofal Al-Dhahir, University of Texas at Dallas, United States

SPCOM-P5.8: CLOSED-FORM BLIND CHANNEL ESTIMATION IN ORTHOGONALLY ........................................ 3306CODED MIMO-OFDM SYSTEMSNima Sarmadi, Alex B. Gershman, Technische Universität Darmstadt, Germany; Shahram Shahbazpanahi, University of Ontario, Canada

SPCOM-P5.9: OPTIMAL SPECTRUM SHARING AND POWER ALLOCATION FOR ............................................... 3310OFDM-BASED TWO-WAY RELAYINGMin Dong, Shahram Shahbazpanahi, University of Ontario Institute of Technology, Canada

SPCOM-P5.10: LINK ADAPTATION IN MIMO-OFDM WITH NON-UNIFORM .......................................................... 3314CONSTELLATION SELECTION OVER SPATIAL STREAMS THROUGH SUPERVISED LEARNINGRobert Daniels, Robert Heath, University of Texas at Austin, United States

SPCOM-P5.11: COMPARATIVE EVALUATION OF THE DUAL TRANSFORM DOMAIN ECHO .......................... 3318CANCELLER FOR DMT-BASED SYSTEMSNeda Ehtiati, Benoit Champagne, McGill University, Canada

SPCOM-P5.12: LINEAR PRECODING BASED ON SWITCHED INTERLEAVING AND ............................................ 3322LIMITED FEEDBACK FOR INTERFERENCE SUPPRESSION IN DOWNLINK MULTI-ANTENNA MC-CDMA SYSTEMSYunlong Cai, Rodrigo de Lamare, University of York, United Kingdom; Didier Le Ruyet, CNAM, France

SPCOM-P6: NETWORKING AND INFORMATION THEORY

SPCOM-P6.1: ERGODIC STOCHASTIC OPTIMIZATION ALGORITHMS FOR WIRELESS .................................. 3326COMMUNICATION AND NETWORKINGAlejandro Ribeiro, University of Pennsylvania, United States

SPCOM-P6.2: ALOHA WITH COLLISION RESOLUTION: PHYSICAL LAYER ......................................................... 3330DESCRIPTION AND SOFTWARE DEFINED RADIO IMPLEMENTATIONXin Liu, John Kountouriotis, Athina Petropulu, Kapil Dandekar, Drexel University, United States

SPCOM-P6.3: DISTRIBUTED COOPERATIVE MULTICAST IN WIRELESS NETWORKS: .................................... 3334PERFORMANCE ANALYSIS AND OPTIMAL POWER ALLOCATIONH. Vicky Zhao, University of Alberta, Canada; Weifeng Su, State University of New York at Buffalo, United States

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SPCOM-P6.4: DISTRIBUTED NETWORK DECOMPOSITION: A PROBABILISTIC GREEDY ............................... 3338APPROACHYanbing Zhang, Huaiyu Dai, North Carolina State University, United States

SPCOM-P6.5: QUANTIFYING INFORMATION RATE LOSSES WITH ZERO-FORCING AND ............................... 3342MAXIMUM-LIKELIHOOD DETECTORSJiaxi Xiao, Xiaoli Ma, Steven W. McLaughlin, Georgia Institute of Technology, United States

SPCOM-P6.6: AN ALGORITHM FOR MAXIMIZING A QUOTIENT OF TWO HERMITIAN ................................... 3346FORM DETERMINANTS WITH DIFFERENT EXPONENTSRaphael Hunger, Techniche Universität München, Germany; Paul de Kerret, Technische Universität München, Germany; Michael Joham, Techniche Universität München, Germany

SPCOM-P6.7: STRUCTURED DIRTY-PAPER CODING USING LOW-DENSITY LATTICES .................................... 3350Sang Hyun Lee, Ankit Ghiya, Sriram Vishwanath, University of Texas at Austin, United States; Sung Soo Hwang, Sunghwan Kim, Samsung Electronics, United States

SPCOM-P6.8: ADAPTIVE NON-ASYMMETRIC SLEPIAN-WOLF DECODING USING ............................................ 3354PARTICLE FILTERING BASED BELIEF PROPAGATIONSamuel Cheng, Shuang Wang, Lijuan Cui, University of Oklahoma, United States

SPCOM-P6.9: BIT-PLANE ARITHMETIC CODING FOR LAPLACIAN SOURCE ....................................................... 3358Haibin Huang, Haiyan Shu, Susanto Rahardja, Institute for Infocomm Research, Singapore

SPCOM-P6.10: OPTIMAL INPUT COVARIANCE FOR ACHIEVING SECRECY CAPACITY IN ............................ 3362GAUSSIAN MIMO WIRETAP CHANNELSJiangyuan Li, Athina Petropulu, Drexel University, United States

SPCOM-P6.11: ON THE IMPROVEMENT OF DIVERSITY-MULTIPLEXING GAIN ................................................. 3366TRADEOFF IN A TRAINING BASED TDD-SIMO SYSTEMBharath Bettagere Nagaraja, Chandra Murthy, Indian Institute of Science, India

SPCOM-P6.12: ON THE OUTAGE AND DIVERSITY-MULTIPLEXING TRADEOFF OF .......................................... 3370BROADCAST CHANNELS WITH 1-BIT FEEDBACKBo Niu, Alexander Haimovich, New Jersey Institute of Technology, United States

SPCOM-P7: DISTRIBUTED DETECTION AND ESTIMATION, MULTIUSER MIMO

SPCOM-P7.1: PARTICLE FILTER ADAPTATION FOR DISTRIBUTED SENSORS VIA ........................................... 3374SET-MEMBERSHIPShahrokh Farahmand, Stergios Roumeliotis, Georgios Giannakis, University of Minnesota, United States

SPCOM-P7.2: GUARANTEED ROBUST DISTRIBUTED ESTIMATION IN A NETWORK OF ................................. 3378SENSORSJean-Benoist Leger, Michel Kieffer, L2S - CNRS - SUPELEC Univ Paris-Sud, France

SPCOM-P7.3: GREEN MODULATION IN DENSE WIRELESS SENSOR NETWORKS ............................................... 3382Jamshid Abouei, Konstantinos N. Plataniotis, Subbarayan Pasupathy, University of Toronto, Canada

SPCOM-P7.4: ENERGY-EFFICIENT DECENTRALIZED EVENT DETECTION IN .................................................... 3386LARGE-SCALE WIRELESS SENSOR NETWORKSQing Ling, University of Science and Technology of China, China; Fanzi Zeng, Hunan University, China; Zhi Tian, Michigan Technological University, United States

SPCOM-P7.5: SENSOR-TO-SENSOR ASSISTANCE FOR DISTRIBUTED SIGNAL .................................................... 3390DETECTIONSadiq Ali, Jose A. Lopez-Salcedo, Gonzalo Seco-Granados, Universitat Autonoma de Barcelona (UAB), Spain

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SPCOM-P7.6: COMPUTING FUNCTIONS VIA SIMO MULTIPLE-ACCESS CHANNELS: ....................................... 3394HOW MUCH CHANNEL KNOWLEDGE IS NEEDED?Mario Goldenbaum, Slawomir Stanczak, Fraunhofer German-Sino Lab for Mobile Communications, Germany

SPCOM-P7.7: LOW-COMPLEXITY AND HIGH-PERFORMANCE SOFT MIMO ....................................................... 3398DETECTION BASED ON DISTRIBUTED M-ALGORITHM THROUGH TRELLIS-DIAGRAMYang Sun, Joseph Cavallaro, Rice University, United States

SPCOM-P7.8: AN EFFICIENT SIGNALING FOR MULTI-MODE TRANSMISSION IN ............................................. 3402MULTI-USER MIMONima Seifi, Tony Ottosson, Mats Viberg, Chalmers University of Technology, Sweden; Mikael Coldrey, Ericsson AB, Sweden; Andreas Wolfgang, Qamcom Technology AB, Sweden

SPCOM-P7.9: A VECTOR PERTURBATION WITH VIRTUAL USERS FOR MULTIUSER ...................................... 3406MIMO DOWNLINKByungju Lee, Byonghyo Shim, School of Information and Communications, Republic of Korea

SPCOM-P7.10: LINEAR TRANSCEIVER DESIGN IN A MULTIUSER MIMO SYSTEM WITH ............................... 3410QUANTIZED CHANNEL STATE INFORMATIONMuhammad Nazmul Islam, Raviraj Adve, University of Toronto, Canada

SPCOM-P7.11: USING A NEW STRUCTURED JOINT CONGRUENCE (STJOCO) ..................................................... 3414TRANSFORMATION OF HERMITIAN MATRICES FOR PRECODING IN MULTI-USER MIMO SYSTEMSBin Song, Florian Roemer, Martin Haardt, Ilmenau University of Technology, Germany

SPCOM-P8: BEAMFORMING AND MIMO II

SPCOM-P8.1: SUM-RATE OF MIMO TWO-WAY RELAYING WITH IMPERFECT CSI ........................................... 3418Ali Panah, Robert Heath Jr., University of Texas at Austin, United States

SPCOM-P8.2: LEVERAGING TEMPORAL CORRELATION FOR LIMITED FEEDBACK ....................................... 3422MULTIPLE ANTENNAS SYSTEMSTaejoon Kim, David Love, Purdue University, United States; Bruno Clerckx, Samsung Electronics, Republic of Korea

SPCOM-P8.3: FEEDBACK BEAMFORMER DESIGN WITH OVERSAMPLING ADC’S IN ....................................... 3426MULTI-ANTENNA SYSTEMSVijay Venkateswaran, Alle-Jan van der Veen, Delft University of Technology, Netherlands

SPCOM-P8.4: TRANSMIT BEAMFORMING FOR MISO FREQUENCY-SELECTIVE ............................................... 3430CHANNELS WITH TOTAL AND PER-ANTENNA POWER CONSTRAINTSQinfei Huang, Mounir Ghogho, University of Leeds, United Kingdom; Jibo Wei, University of Defence Technology, China

SPCOM-P8.5: RECEIVER DIVERSITY WITH BLIND FIR SIMO CHANNEL ESTIMATES ....................................... 3434Samir Omar, Dirk Slock, EURECOM, France; Oussama Bazzi, Lebanese University, Lebanon

SPCOM-P8.6: PERFORMANCE ANALYSIS OF BLIND ADAPTIVE MIMO RECEIVERS.......................................... 3438Balakumar Balasingam, Miodrag Bolic, University of Ottawa, Canada; Shahram Shahbazpanahi, University of Ontario Institute of Technology, Canada; T Kirubarajan, McMaster University, Canada

SPCOM-P8.7: CLOSED-FORM POWER ALLOCATION SCHEME FOR SPACE-TIME ............................................. 3442CODED MULTIPLE-ANTENNA SYSTEMS WITH IMPERFECT CSIQuan Kuang, Shu-Hung Leung, City University of Hong Kong, Hong Kong SAR of China; Xiangbin Yu, Nanjing University of Aeronautics and Astronautics, China

SPCOM-P8.8: LATTICE-REDUCTION-AIDED MIMO DETECTION UNDER IMPERFECT ..................................... 3446CHANNEL STATE INFORMATIONChiao-En Chen, National Chung Cheng University, Taiwan

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SPCOM-P8.9: MULTI-BRANCH MMSE DECISION FEEDBACK DETECTION .......................................................... 3450ALGORITHMS WITH ERROR PROPAGATION MITIGATION FOR MIMO SYSTEMSRodrigo de Lamare, University of York, United Kingdom; Didier Le Ruyet, Conservatoire National des Arts et Métiers (CNAM), France

SPCOM-P8.10: MIMO SVD-BASED MULTIPLEXING WITH IMPERFECT CHANNEL ............................................ 3454KNOWLEDGEMichael Larsen, Brigham Young University, United States; Lee Swindlehurst, University of California, Irvine, United States

SPCOM-P8.11: SFBC DESIGN TRADEOFFS FOR MOBILE SC-FDMA WITH APPLICATION ................................ 3458TO LTE-ADVANCEDBalachander Narasimhan, Naofal Al-Dhahir, Hlaing Minn, University of Texas at Dallas, United States

SPCOM-P8.12: ADAPTING MIMO TRANSMISSION MODE ALONG PATHS IN URBAN ........................................ 3462ENVIRONMENTSAliye Ozge Kaya, Wade Trappe, Larry J. Greenstein, Rutgers University, United States

SPCOM-P9: COMMUNICATIONS

SPCOM-P9.1: CODE-CONTROLLED 3D FREQUENCY HOPPING FOR JAMMING ................................................. 3466MITIGATIONHuahui Wang, Tongtong Li, Michigan State University, United States

SPCOM-P9.2: OPTIMAL DELAYED DECODING OF PREDICTIVELY ENCODED ................................................... 3470SOURCESVinay Melkote, Kenneth Rose, University of California, Santa Barbara, United States

SPCOM-P9.3: ON FEASIBLE SNR REGION FOR MULTICAST DOWNLINK CHANNEL: ....................................... 3474TWO USER CASEDaniel Tomecki, Slawomir Stanczak, Fraunhofer German-Sino Lab for Mobile Communications, Germany

SPCOM-P9.4: ON THE QOS FEASIBILITY REGION IN THE VECTOR BROADCAST ............................................. 3478CHANNELRaphael Hunger, Michael Joham, Technische Universität München, Germany

SPCOM-P9.5: A NOISY FEEDBACK ENCODING SCHEME FOR THE GAUSSIAN CHANNEL ............................... 3482Zachary Chance, David J. Love, Purdue University, United States

SPCOM-P9.6: A NEW APPROACH FOR MITIGATING CARRIER PHASE MULTIPATH ........................................ 3486ERRORS IN MULTI-GNSS REAL-TIME KINEMATIC (RTK) RECEIVERSMohamed Sahmoudi, Ammar Kouki, René Landry, ETS University, Canada

SPCOM-P9.7: STATISTICAL MODELING OF CO-CHANNEL INTERFERENCE IN A FIELD ................................ 3490OF POISSON DISTRIBUTED INTERFERERSKapil Gulati, Brian Evans, University of Texas at Austin, United States; Keith Tinsley, Intel Corporation, United States

SPCOM-P9.8: DOWNLINK QUALITY ESTIMATION IN UMTS-FDD SYSTEM : ........................................................ 3494APPLICATION TO COGNITIVE RADIOLahouari Fathi, Télécom SudParis, France; Philippe Loubaton, Université Paris-Est Marne-la-Vallée, France

SPCOM-P9.9: OPTIMAL GAIN CONTROL FOR SINGLE-CARRIER COMMUNICATIONS .................................... 3498WITH UNIFORM QUANTIZATION AT THE RECEIVERStefan Krone, Gerhard Fettweis, Technische Universität Dresden, Germany

SPCOM-P9.10: MULTIPLE FREQUENCY-HOPPING SIGNAL ESTIMATION VIA SPARSE ................................... 3502REGRESSIONDaniele Angelosante, Georgios B. Giannakis, University of Minnesota, United States; Nicholas D. Sidiropoulos, Technical University of Crete, Greece

SPCOM-P9.11: A NOVEL BIO-INSPIRED STATIC IMAGE COMPRESSION SCHEME FOR ................................... 3506NOISY DATA TRANSMISSION OVER LOW-BANDWIDTH CHANNELSKhaled Masmoudi, Marc Antonini, I3S - CNRS, France; Pierre Kornprobst, NeuroMathComp - INRIA, France; Laurent Perrinet, INCM - CNRS, France

SPCOM-P9.12: DIGITAL BASEBAND COMPENSATION OF JOINT TX/RX I/Q IMBALANCE ............................... 3510IN MOBILE MIMO SC-FDE TRANSCEIVERS IN THE PRESENCE OF CFOSudharsan Narayanan, Balachander Narasimhan, Naofal Al-Dhahir, University of Texas at Dallas, United States

SPTM-L1: DISTRIBUTED PROCESSING OVER COGNITIVE NETWORKS

SPTM-L1.1: RANDOMIZED INCREMENTAL PROTOCOLS OVER ADAPTIVE NETWORKS ................................ 3514Cassio Lopes, University of Sao Paulo, Brazil; Ali Sayed, University of California, Los Angeles, United States

SPTM-L1.2: LINK PROBABILITY CONTROL FOR PROBABILISTIC DIFFUSION .................................................. 3518LEAST-MEAN SQUARES OVER RESOURCE-CONSTRAINED NETWORKSNoriyuki Takahashi, Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-L1.3: DISTRIBUTED NONLINEAR KALMAN FILTERING WITH APPLICATIONS TO .............................. 3522WIRELESS LOCALIZATIONFederico Cattivelli, Ali H. Sayed, University of California, Los Angeles, United States

SPTM-L1.4: A NOVEL FRAMEWORK FOR DISTRIBUTED DETECTION WITH ...................................................... 3526DEPENDENT OBSERVATIONSHao Chen, Pramod Varshney, Biao Chen, Syracuse University, United States

SPTM-L1.5: DISTRIBUTED TARGET DETECTION IN THROUGH-THE-WALL RADAR ........................................ 3530IMAGING USING THE BOOTSTRAP Christian Debes, Christian Weiss, Abdelhak Zoubir, Technische Universität Darmstadt, Germany; Moeness Amin, Villanova University, Germany

SPTM-L1.6: SPARSITY-COGNIZANT OVERLAPPING CO-CLUSTERING FOR BEHAVIOR ................................. 3534INFERENCE IN SOCIAL NETWORKSHao Zhu, Gonzalo Mateos, Georgios Giannakis, University of Minnesota, United States; Nicholas Sidiropoulos, Technical University of Crete, Greece; Arindam Banerjee, University of Minnesota, United States

SPTM-L2: TARGET DETECTION AND LOCALIZATION METHODS

SPTM-L2.1: PARAMETRIZATION OF ACOUSTIC IMAGES FOR THE DETECTION OF ....................................... 3538HUMAN PRESENCE BY MOBILE PLATFORMSMarco Moebus, Technische Universität Darmstadt, Germany; Mats Viberg, Chalmers University of Technology, Sweden; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SPTM-L2.2: ADAPTIVE SEARCH FOR SPARSE TARGETS WITH INFORMATIVE PRIORS .................................. 3542Gregory Newstadt, Eran Bashan, Alfred Hero, University of Michigan, United States

SPTM-L2.3: A CLOSED-FORM PSEUDOLINEAR ESTIMATOR FOR GEOLOCATION OF .................................... 3546SCANNING EMITTERSKutluyil Dogancay, University of South Australia, Australia

SPTM-L2.4: HYPERSPECTRAL TARGET DETECTION FROM INCOHERENT ........................................................ 3550PROJECTIONSKalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett, Duke University, United States

SPTM-L2.5: A PRACTICAL COMPLETE MLE COOPERATIVE LOCALIZATION SOLUTION .............................. 3554Songnan Xi, Michael Zoltowski, Purdue University, United States

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SPTM-L2.6: SINGLE ANTENNA TIME REVERSAL DETECTION OF MOVING TARGET ....................................... 3558Yuanwei Jin, University of Maryland Eastern Shore, United States; Jose’ Moura, Nicholas O’Donoughue, Joel Harley, Carnegie Mellon University, United States

SPTM-L3: CLASSIFICATION AND PATTERN RECOGNITION

SPTM-L3.1: FEATURE EXTRACTION IN THROUGH-THE-WALL RADAR IMAGING ............................................ 3562Christian Debes, Jürgen Hahn, Abdelhak Zoubir, Technische Universität Darmstadt, Germany; Moeness Amin, Villanova University, United States

SPTM-L3.2: HUMAN DETECTION IN IMAGES VIA L1-NORM MINIMIZATION LEARNING ............................... 3566Ran Xu, Graduate School of Chinese Academy of Sciences, China; Baochang Zhang, Beijing University of Aeronautics and Astronautics, China; Qixiang Ye, Jianbin Jiao, Graduate School of Chinese Academy of Sciences, China

SPTM-L3.3: REFERENCE-FREE AUDIO MATCHING FOR RENDEZVOUS ................................................................ 3570Baosen Zhang, University of California, Berkeley, United States; Mitchell Trott, Hewlett-Packard Laboratories, United States

SPTM-L3.4: DISTANCE-BASED DISCRETIZATION OF PARAMETRIC SIGNAL MANIFOLDS ............................. 3574Elif Vural, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SPTM-L3.5: HIERARCHICAL DICTIONARY LEARNING FOR INVARIANT CLASSIFICATION .......................... 3578Leah Bar, Guillermo Sapiro, University of Minnesota, United States

SPTM-L3.6: PARTIAL SEQUENCE MATCHING USING AN UNBOUNDED DYNAMIC TIME ................................ 3582WARPING ALGORITHMXavier Anguera Miro, Telefonica Research, Spain; Robert Macrae, Centre for Digital Music, United Kingdom; Nuria Oliver Ramírez, Telefonica Research, Spain

SPTM-L4: STATISTICAL PERFORMANCE ANALYSIS AND BOUNDS

SPTM-L4.1: A NULLSPACE ANALYSIS OF THE NUCLEAR NORM HEURISTIC FOR RANK ............................... 3586MINIMIZATIONKrishnamurthy Dvijotham, Maryam Fazel, University of Washington, United States

SPTM-L4.2: COHERENCE-BASED NEAR-ORACLE PERFORMANCE GUARANTEES FOR .................................. 3590SPARSE ESTIMATION UNDER GAUSSIAN NOISEZvika Ben-Haim, Yonina C. Eldar, Michael Elad, Technion - Israel Institute of Technology, Israel

SPTM-L4.3: ASYMPTOTIC DISTRIBUTION OF GLR FOR IMPROPRIETY OF COMPLEX ................................... 3594SIGNALSJean Pierre Delmas, Abdelkader Oukaci, Telecom SudParis, France; Pascal Chevalier, Thales Communications, France

SPTM-L4.4: EVALUATION OF A METHOD’S ROBUSTNESS ......................................................................................... 3598Petar Djuric, Stony Brook University, United States; Pau Closas, Centre Tecnolòogic de Telecomunicacions de Catalunya (CTTC), Spain; Monica Bugallo, Stony Brook University, United States; Joaquin Miguez, Universidad Carlos III de Madrid, Spain

SPTM-L4.5: STATISTICAL RESOLUTION LIMIT FOR MULTIPLE PARAMETERS OF ......................................... 3602INTEREST AND FOR MULTIPLE SIGNALSMohammed Nabil El Korso, Remy Boyer, Alexandre Renaux, University Paris-Sud 11, France; Sylvie Marcos, CNRS, France

SPTM-L4.6: NYSTRÖM APPROXIMATION OF WISHART MATRICES ....................................................................... 3606Nicholas Arcolano, Patrick Wolfe, Harvard University, United States

SPTM-L5: SAMPLING THEORY AND METHODS

SPTM-L5.1: UNFOLDING OF ALIASED HARMONIC FREQUENCIES ......................................................................... 3610Azadeh Moghtaderi, CNRS-ENS Lyon, France; Glen Takahara, David J. Thomson, Queen’s University, Canada

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SPTM-L5.2: CONCENTRATION OF MEASURE FOR BLOCK DIAGONAL MEASUREMENT ................................ 3614MATRICESMichael Wakin, Colorado School of Mines, United States; Jae Young Park, University of Michigan, United States; Han Lun Yap, Christopher Rozell, Georgia Institute of Technology, United States

SPTM-L5.3: IMPROVED INTERNET TRAFFIC ANALYSIS VIA OPTIMIZED SAMPLING ...................................... 3618Sean McPherson, Antonio Ortega, University of Southern California, United States

SPTM-L5.4: QUANTIZATION AND COMPENSATION IN SAMPLED INTERLEAVED ............................................ 3622MULTI-CHANNEL SYSTEMSShay Maymon, Alan Oppenheim, Massachusetts Institute of Technology, United States

SPTM-L5.5: SUB-NYQUIST PROCESSING WITH THE MODULATED WIDEBAND ................................................. 3626CONVERTERMoshe Mishali, Asaf Elron, Yonina Eldar, Technion - Israel Institute of Technology, Israel

SPTM-L5.6: MODULATED WIDEBAND CONVERTER WITH NON-IDEAL LOWPASS ........................................... 3630FILTERSYilun Chen, University of Michigan, United States; Moshe Mishali, Yonina Eldar, Technion - Israel Institute of Technology, Israel; Alfred Hero, University of Michigan, United States

SPTM-L6: COMPRESSIVE SENSING: THEORY AND METHODS

SPTM-L6.1: EFFICIENT SPARSE BAYESIAN LEARNING VIA GIBBS SAMPLING ................................................... 3634Xing Tan, Jian Li, University of Florida, United States; Peter Stoica, Uppsala University, Sweden

SPTM-L6.2: ALTERNATING MINIMIZATION TECHNIQUES FOR THE EFFICIENT ............................................. 3638RECOVERY OF A SPARSELY CORRUPTED LOW-RANK MATRIXSilvia Gandy, Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-L6.3: LOW DENSITY FRAMES FOR COMPRESSIVE SENSING ........................................................................ 3642Mehmet Akcakaya, Jinsoo Park, Vahid Tarokh, Harvard University, United States

SPTM-L6.4: SET: AN ALGORITHM FOR CONSISTENT MATRIX COMPLETION .................................................... 3646Wei Dai, Olgica Milenkovic, University of Illinois at Urbana-Champaign, United States

SPTM-L6.5: KRONECKER PRODUCT MATRICES FOR COMPRESSIVE SENSING ................................................. 3650Marco Duarte, Princeton University, United States; Richard Baraniuk, Rice University, United States

SPTM-L6.6: ITERATIVE ALGORITHMS FOR COMPRESSED SENSING WITH PARTIALLY ............................... 3654KNOWN SUPPORTRafael Carrillo, Luisa F. Polania, Kenneth Barner, University of Delaware, United States

SPTM-L7: TIME-FREQUENCY ANALYSIS

SPTM-L7.1: TIME-FREQUENCY SCALING PROPERTY OF DISCRETE FOURIER ................................................. 3658TRANSFORM (DFT)Sumit Talwalkar, Motorola, Inc., United States; S. Lawrence Marple, Georgia Institute of Technology, United States

SPTM-L7.2: ROBUST DIRECTION-OF-ARRIVAL ESTIMATION FOR FM SOURCES IN THE .............................. 3662PRESENCE OF IMPULSIVE NOISEWaqas Sharif, Philipp Heidenreich, Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany

SPTM-L7.3: STATISTICAL HYPOTHESIS TESTING WITH TIME-FREQUENCY ..................................................... 3666SURROGATES TO CHECK SIGNAL STATIONARITYCédric Richard, André Ferrari, Université de Nice Sophia-Antipolis, France; Hassan Amoud, Paul Honeine, Université de Technologie de Troyes, France; Patrick Flandrin, Pierre Borgnat, Ecole Normale Supérieure de Lyon, France

SPTM-L7.4: THE FINITE FIELD FRACTIONAL FOURIER TRANSFORM................................................................... 3670Juliano Lima, University of Pernambuco, Brazil; Ricardo Campello de Souza, Federal University of Pernambuco, Brazil

SPTM-L7.5: DISCRIMINATIVE BASE DECOMPOSITION FOR TIME-FREQUENCY .............................................. 3674MATRIX DECOMPOSITIONBehnaz Ghoraani, Sridhar Krishnan, Ryerson University, Canada

SPTM-L7.6: TIME-VARYING SPECTRUM ESTIMATION OF UNIFORMLY MODULATED .................................. 3678PROCESSES BY MEANS OF SURROGATE DATA AND EMPIRICAL MODE DECOMPOSITIONAzadeh Moghtaderi, Patrick Flandrin, Pierre Borgnat, CNRS-ENS Lyon, France

SPTM-L8: FILTER DESIGN AND ARCHITECTURES

SPTM-L8.1: LEAST SQUARES DESIGN OF THREE-DIMENSIONAL FILTER BANKS USING .............................. 3682TRANSFORMATION OF VARIABLESBogdan Sicleru, Politehnica University of Bucharest, Romania; Bogdan Dumitrescu, Tampere University of Technology, Finland

SPTM-L8.2: SPARSITY MAXIMIZATION UNDER A QUADRATIC CONSTRAINT WITH ...................................... 3686APPLICATIONS IN FILTER DESIGNDennis Wei, Alan V. Oppenheim, Massachusetts Institute of Technology, United States

SPTM-L8.3: SUFFICIENT CONDITION FOR INVERTIBILITY OF SQUARE FIR MIMO ........................................ 3690SYSTEMSSander Wahls, Holger Boche, Technische Universität Berlin, Germany

SPTM-L8.4: 2-D TWO-FOLD SYMMETRIC CIRCULAR SHAPED FILTER DESIGN WITH .................................... 3694HOMOMORPHIC PROCESSING APPLICATIONAkila Seneviratne, Kha Ha, Hoang Tuan, University of New South Wales, Australia; Truong Nguyen, University of California, San Diego, United States

SPTM-L8.5: SIGNAL CONCENTRATION ON UNIT SPHERE: AN AZIMUTHALLY MOMENT ............................. 3698WEIGHTING APPROACHLiying Wei, Rodney Kennedy, Tharaka Lamahewa, Australian National University, Australia

SPTM-L8.6: ON THE REALIZATION OF BAND-PASS TYPE SYSTEMS FOR BOUNDED ....................................... 3702BANDLIMITED SIGNALSHolger Boche, Ullrich Mönich, Technische Universität Berlin, Germany

SPTM-P1: ANALYSIS AND DESIGN OF ADAPTIVE FILTERS

SPTM-P1.1: CONVERGENCE AND TRACKING ANALYSIS OF A CONSTRAINED LEAST .................................... 3706MEAN FOURTH ADAPTIVE ALGORITHMSyed Imam, Azzedine Zerguine, Muhammad Moinuddin, King Fahd University of Petroleum & Minerals, Saudi Arabia

SPTM-P1.2: ON THE TRACKING PERFORMANCE OF COMBINATIONS OF LEAST MEAN ................................ 3710SQUARES AND RECURSIVE LEAST SQUARES ADAPTIVE FILTERSVítor H. Nascimento, Magno T. M. Silva, University of Sao Paulo, Brazil; Luis A. Azpicueta-Ruiz, Jerónimo Arenas-García, Universidad Carlos III de Madrid, Spain

SPTM-P1.3: TRANSFORM DOMAIN LMS ALGORITHMS FOR SPARSE SYSTEM ................................................... 3714IDENTIFICATIONKun Shi, Texas Instruments, United States; Xiaoli Ma, Georgia Institute of Technology, United States

SPTM-P1.4: STABILITY ANALYSIS OF AN ADAPTIVE WIENER STRUCTURE ........................................................ 3718Robert Dallinger, Markus Rupp, Vienna University of Technology, Austria

SPTM-P1.5: ON THE CONVERGENCE ANALYSIS OF A VARIABLE STEP-SIZE LMF ........................................... 3722ALGORITHM OF THE QUOTIENT FORMAsad Syed, Azzedine Zerguine, Muhammad Moinuddin, King Fahd University of Petroleum & Minerals, Saudi Arabia

SPTM-P1.6: A MODIFIED NLMS ALGORITHM FOR ADAPTIVE NOISE CANCELLATION ................................... 3726Lin Bai, Qinye Yin, Xi’an Jiaotong University, China

SPTM-P1.7: A DETERMINISTIC ANALYSIS OF VARIABLE-METRIC ADAPTIVE FILTERING ........................... 3730ALGORITHMS UNDER SMALL METRIC-FLUCTUATIONSMasahiro Yukawa, RIKEN Brain Science Institute, Japan; Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-P1.8: A SPARSE ADAPTIVE FILTERING USING TIME-VARYING .................................................................. 3734SOFT-THRESHOLDING TECHNIQUESYukihiro Murakami, Masao Yamagishi, Tokyo Institute of Technology, Japan; Masahiro Yukawa, RIKEN Brain Science Institute, Japan; Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-P1.9: PROPORTIONATE-TYPE NLMS ALGORITHMS BASED ON MAXIMIZATION ................................. 3738OF THE JOINT CONDITIONAL PDF FOR THE WEIGHT DEVIATION VECTORKevin Wagner, Naval Research Laboratory, United States; Milos Doroslovacki, George Washington University, United States

SPTM-P1.10: ADAPTIVE ALGORITHM FOR SPARSE SYSTEM IDENTIFICATION USING ................................... 3742PROJECTIONS ONTO WEIGHTED L1 BALLSKonstantinos Slavakis, University of Peloponnese, Greece; Yannis Kopsinis, University of Edinburgh, United Kingdom; Sergios Theodoridis, University of Athens, Greece

SPTM-P1.11: EFFICIENT NLMS AND RLS ALGORITHMS FOR PERFECT PERIODIC .......................................... 3746SEQUENCESAlberto Carini, University of Urbino, Italy

SPTM-P1.12: PARTIAL UPDATE EDS ALGORITHMS FOR ADAPTIVE FILTERING ............................................... 3750Bei Xie, Tamal Bose, Virginia Polytechnic Institute and State University, United States

SPTM-P2: DETECTION AND ESTIMATION TECHNIQUES - I

SPTM-P2.1: THRESHOLD SELECTION FOR GROUP SPARSITY .................................................................................. 3754Victor Solo, University of New South Wales, Australia; Magnus Ulfarsson, University of Iceland, Iceland

SPTM-P2.2: ON RANDOM MATRIX THEORY FOR STATIONARY PROCESSES ...................................................... 3758Victor Solo, University of New South Wales, Australia

SPTM-P2.3: TESTING FOR INDEPENDENCE BETWEEN A POINT PROCESS AND AN ......................................... 3762ANALOG SIGNALVictor Solo, Ahmed Pasha, University of New South Wales, Australia

SPTM-P2.4: SPARSE SIGNAL ESTIMATION WITH NONLINEAR CONJUGATE GRADIENTS .............................. 3766Goran Marjanovic, Victor Solo, University of New South Wales, Australia

SPTM-P2.5: EXPONENTIALLY EMBEDDED FAMILIES FOR MULTIMODAL SENSOR ........................................ 3770PROCESSINGSteven Kay, Quan Ding, University of Rhode Island, United States

SPTM-P2.6: APPROXIMATE JOINT DIAGONALIZATION BY NONORTHOGONAL ............................................... 3774NONPARAMETRIC JACOBI TRANSFORMATIONSXijing Guo, Shihua Zhu, Xi’an Jiaotong University, China; Sebastian Miron, David Brie, Nancy-Universite, France

SPTM-P2.7: NOISE ENHANCED DETECTION IN THE RESTRICTED BAYESIAN ................................................... 3778FRAMEWORKSuat Bayram, Sinan Gezici, Bilkent University, Turkey; H. Vincent Poor, Princeton University, United States

SPTM-P2.8: MODELLING PIECEWISE LONG MEMORY SIGNALS BASED ON MDL ............................................. 3782Li Song, Université Paris-Sud, France; Pascal Bondon, CNRS UMR 8506, France

SPTM-P2.9: AN EFFECTIVE NONPARAMETRIC QUICKEST DETECTION PROCEDURE .................................... 3786BASED ON Q-Q DISTANCEDayu Yang, Hairong Qi, University of Tennessee, Knoxville, United States

SPTM-P2.10: A NON-ITERATIVE ESTIMATOR FOR THE CONCENTRATION PARAMETER .............................. 3790OF THE RELATIVE PHASE DISTRIBUTIONYothin Rakvongthai, Soontorn Oraintara, University of Texas at Arlington, United States

SPTM-P2.11: PERFORMANCE ANALYSIS OF THE CONVENTIONAL COMPLEX LMS AND ............................... 3794AUGMENTED COMPLEX LMS ALGORITHMSScott Douglas, Southern Methodist University, United States; Danilo Mandic, Imperial College London, United Kingdom

SPTM-P2.12: A SIMPLE ANALYSIS OF LINEAR REGRESSION WITH SAMPLE-MINIMUM ................................ 3798ERLANG VARIATESDennis Morgan, Ilija Hadzic, Bell Laboratories, Alcatel-Lucent, United States

SPTM-P3: ADAPTIVE PROCESSING AND PERFORMANCE ANALYSIS

SPTM-P3.1: STEADY-STATE ANALYSIS OF THE SET-MEMBERSHIP AFFINE PROJECTION ............................ 3802ALGORITHMMarkus Lima, Paulo Diniz, Federal University of Rio de Janeiro, Brazil

SPTM-P3.2: QUADRATIC MODIFIED FERMAT TRANSFORMS FOR FAST CONVOLUTION .............................. 3806AND ADAPTIVE FILTERINGChandrasekhar Radhakrishnan, Kenneth Jenkins, Pennsylvania State University, United States

SPTM-P3.4: MULTI-DOMAIN ADAPTIVE FILTERING BY FEASIBILITY SPLITTING ............................................ 3814Masahiro Yukawa, RIKEN Brain Science Institute, Japan; Konstantinos Slavakis, University of Peloponnese, Greece; Isao Yamada, Tokyo Institute of Technology, Japan

SPTM-P3.5: MIMETIC WAVELET-PACKET TRANSFORM BASED ADAPTIVE ALGORITHM ............................ 3818FOR SPARSE RESPONSE IDENTIFICATIONOdair A. Noskoski, Federal Institute for Technology Education Sul-Rio-Grandense, Brazil; Jose C. M. Bermudez, Universidade Federal de Santa Catarina, Brazil

SPTM-P3.6: ONLINE MAXIMUM-LIKELIHOOD LEARNING OF TIME-VARYING ................................................. 3822DYNAMICAL MODELS IN BLOCK-FREQUENCY-DOMAINSarmad Malik, Gerald Enzner, Ruhr-Universität Bochum, Germany

SPTM-P3.7: A COMPARISON OF APPROXIMATE VITERBI TECHNIQUES AND PARTICLE .............................. 3826FILTERING FOR DATA ESTIMATION IN DIGITAL COMMUNICATIONSSteffen Barembruch, Télécom ParisTech, France

SPTM-P3.8: ALGORITHMS FOR ROBUST LINEAR REGRESSION BY EXPLOITING THE ................................... 3830CONNECTION TO SPARSE SIGNAL RECOVERYYuzhe Jin, Bhaskar Rao, University of California, San Diego, United States

SPTM-P3.9: A PARTICLE FILTERING ALGORITHM FOR COOPERATIVE BLIND ................................................ 3834EQUALIZATION USING VB PARAMETRIC APPROXIMATIONSClaudio Bordin, Universidade Federal do ABC, Brazil; Marcelo Bruno, Instituto Tecnologico de Aeronautica, Brazil

SPTM-P3.10: AN EFFICIENT PARTICLE FILTERING TECHNIQUE ON THE GRASSMANN ................................ 3838MANIFOLDQuentin Rentmeesters, P.-A. Absil, Paul Van Dooren, Université catholique de Louvain, Belgium; Kyle Gallivan, Anuj Srivastava, Florida State University, United States

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SPTM-P3.11: A TRANSIENT ANALYSIS FOR THE CONVEX COMBINATION OF TWO ........................................ 3842ADAPTIVE FILTERS WITH TRANSFER OF COEFFICIENTSMagno T. M. Silva, Vítor H. Nascimento, University of Sao Paulo, Brazil; Jerónimo Arenas-García, Universidad Carlos III de Madrid, Spain

SPTM-P3.12: ROBUST REGRESSION USING SPARSE LEARNING FOR HIGH ......................................................... 3846DIMENSIONAL PARAMETER ESTIMATION PROBLEMSKaushik Mitra, University of Maryland, College Park, United States; Ashok Veeraraghavan, Mitsubishi Electric Research Laboratories, United States; Rama Chellappa, University of Maryland, College Park, United States

SPTM-P4: STATISTICAL SIGNAL PROCESSING TECHNIQUES

SPTM-P4.1: CELLULAR CLASS ENCODING APPROACH TO INCREASING EFFICIENCY OF ............................ 3850NEAREST NEIGHBOR SEARCHINGMark Huggins, Oasis Systems, Inc., United States; Aaron Lawson, Brett Smolenski, RADC, Inc., United States

SPTM-P4.2: FREQUENCY-SELECTIVE AUTOREGRESSIVE ESTIMATION IN NOISE............................................ 3854Luis Weruaga, Khalifa University of Science, Technology & Research, United Arab Emirates

SPTM-P4.3: DECOMPOSING TENSORS WITH STRUCTURED MATRIX FACTORS ............................................... 3858REDUCES TO RANK-1 APPROXIMATIONSPierre Comon, Mikael Sorensen, Elias Tsigaridas, CNRS - University of Nice, France

SPTM-P4.4: ROBUST GEOLOCATION ESTIMATION USING ADAPTIVE RANSAC ................................................ 3862ALGORITHMChenchi Luo, James McCellan, Georgia Institute of Technology, United States

SPTM-P4.5: H-INFINITY OPTIMAL SIGNAL PREDICTIVE QUANTIZATION SUBJECT TO ................................ 3866CHANNEL LOSSTong Xue, Jingxin Zhang, Monash University, Australia

SPTM-P4.6: A ROBUST DETECTOR FOR UNIFORMLY DISTRIBUTED NOISE ........................................................ 3870Tõnu Trump, Ericsson AB, Sweden

SPTM-P4.7: A SIGNAL-SPECIFIC BOUND FOR JOINT TDOA AND FDOA ESTIMATION AND ............................ 3874ITS USE IN COMBINING MULTIPLE SEGMENTSArie Yeredor, Tel-Aviv University, Israel

SPTM-P4.8: PERFORMANCE ANALYSIS OF THE GLRT-BASED ARRAY RECEIVERS FOR ............................... 3878THE DETECTION OF A KNOWN SIGNAL CORRUPTED BY NONCIRCULAR INTERFERENCEJean Pierre Delmas, Abdelkader Oukaci, Telecom SudParis, France; Pascal Chevalier, Thales Communications, France

SPTM-P4.9: UTILIZING PRINCIPAL SINGULAR VECTORS FOR TWO-DIMENSIONAL ...................................... 3882SINGLE FREQUENCY ESTIMATIONH. C. So, Frankie K. W. Chan, C. F. Chan, W. H. Lau, City University of Hong Kong, Hong Kong SAR of China

SPTM-P4.10: A PARTIALLY COLLAPSED GIBBS SAMPLER FOR PARAMETERS WITH ..................................... 3886LOCAL CONSTRAINTSGeorg Kail, Vienna University of Technology, Austria; Jean-Yves Tourneret, University of Toulouse, France; Franz Hlawatsch, Vienna University of Technology, Austria; Nicolas Dobigeon, University of Toulouse, France

SPTM-P4.11: MULTI-TARGET TRACKING USING MULTI-MODAL SENSING WITH ............................................ 3890WAVEFORM CONFIGURATIONJun Zhang, Antonia Papandreou-Suppappola, Arizona State University, United States; Muralidhar Rangaswamy, Air Force Research Laboratory, United States

SPTM-P4.12: MULTIPATH EXPLOITATION WITH ADAPTIVE WAVEFORM DESIGN FOR ................................ 3894TRACKING IN URBAN TERRAINBhavana Chakraborty, Ying Li, Jun Zhang, Tom Trueblood, Antonia Papandreou-Suppappola, Darryl Morrell, Arizona State University, United States

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SPTM-P5: COMPRESSIVE SENSING

SPTM-P5.1: QUANTIZATION CONSTRAINED CONVEX OPTIMIZATION FOR THE ............................................. 3898COMPRESSIVE SENSING RECONSTRUCTIONSDong Sik Kim, Hankuk University of Foreign Studies, Republic of Korea

SPTM-P5.2: TIME DELAY ESTIMATION: COMPRESSED SENSING OVER AN INFINITE .................................... 3902UNION OF SUBSPACESKfir Gedalyahu, Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

SPTM-P5.3: ADAPTIVE STRUCTURED RECOVERY OF COMPRESSIVE SENSING VIA ....................................... 3906PIECEWISE AUTOREGRESSIVE MODELINGXiaolin Wu, Xiangjun Zhang, McMaster University, Canada

SPTM-P5.4: $\ELL_1$ OPTIMIZATION AND ITS VARIOUS THRESHOLDS IN ......................................................... 3910COMPRESSED SENSINGMihailo Stojnic, Purdue University, United States

SPTM-P5.5: NOVEL ROBUST GAUSSIANITY TEST FOR SPARSE DATA.................................................................... 3914Lu Lu, Kun Yan, Hsiao-Chun Wu, Louisiana State University, United States

SPTM-P5.6: BLOCK-LENGTH DEPENDENT THRESHOLDS FOR ................................................................................ 3918$\ELL_2/\ELL_1$-OPTIMIZATION IN BLOCK-SPARSE COMPRESSED SENSINGMihailo Stojnic, Purdue University, United States

SPTM-P5.7: A SMOOTHED ANALYSIS APPROACH TO $\ELL_1$ OPTIMIZATION IN .......................................... 3922COMPRESSED SENSINGMihailo Stojnic, Purdue University, United States

SPTM-P5.8: MODIFIED BASIS PURSUIT DENOISING(MODIFIED-BPDN) FOR NOISY .......................................... 3926COMPRESSIVE SENSING WITH PARTIALLY KNOWN SUPPORTWei Lu, Namrata Vaswani, Iowa State University, United States

SPTM-P5.9: SENSITIVITY TO BASIS MISMATCH IN COMPRESSED SENSING........................................................ 3930Yuejie Chi, Princeton University, United States; Ali Pezeshki, Louis Scharf, Colorado State University, United States; Robert Calderbank, Princeton University, United States

SPTM-P5.10: COMPRESSIVE SENSING OF A SUPERPOSITION OF PULSES ............................................................. 3934Chinmay Hegde, Richard Baraniuk, Rice University, United States

SPTM-P5.11: TOWARDS IMPROVING $\ELL_1$ OPTIMIZATION IN COMPRESSED ............................................ 3938SENSINGMihailo Stojnic, Purdue University, United States

SPTM-P5.12: EMPIRICAL QUANTIZATION FOR SPARSE SAMPLING SYSTEMS ................................................... 3942Michael Lexa, University of Edinburgh, United Kingdom

SPTM-P6: DETECTION AND ESTIMATION TECHNIQUES - II

SPTM-P6.1: WIDELY AND SEMI-WIDELY LINEAR PROCESSING OF QUATERNION .......................................... 3946VECTORSJavier Vía, David Ramírez, Ignacio Santamaría, Luis Vielva, University of Cantabria, Spain

SPTM-P6.2: SPARSE VARIABLE NOISY PCA USING L0 PENALTY.............................................................................. 3950Magnus Ulfarsson, University of Iceland, Iceland; Victor Solo, University of New South Wales, Australia

SPTM-P6.3: PARTICLE FILTERING BASED RECOVERY OF NOISY GARCH PROCESSES................................... 3954Tomer Michaeli, Israel Cohen, Technion - Israel Institute of Technology, Israel

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SPTM-P6.4: AN ADAPTIVE LEVEL OF DETAIL APPROACH TO NONLINEAR ESTIMATION ............................. 3958Friedrich Faubel, Dietrich Klakow, Saarland University, Germany

SPTM-P6.5: BAYESIAN ANALYSIS OF FINITE GAUSSIAN MIXTURES ...................................................................... 3962Mark Morelande, University of Melbourne, Australia; Branko Ristic, DSTO, Australia

SPTM-P6.6: ON THE USE OF KOLMOGOROV STRUCTURE FUNCTION FOR ........................................................ 3966PERIODOGRAM SMOOTHINGCiprian Doru Giurcaneanu, Seyed Alireza Razavi, Tampere University of Technology, Finland

SPTM-P6.7: MULTIBAND ANALYSIS FOR COLORED AMPLITUDE-MODULATED SHIP .................................... 3970NOISEPascal Clark, University of Washington, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States; Les Atlas, University of Washington, United States

SPTM-P6.8: JAMMING RESISTANCE REINFORCEMENT OF MESSAGE-DRIVEN ................................................. 3974FREQUENCY HOPPINGLei Zhang, Huahui Wang, Tongtong Li, Michigan State University, United States

SPTM-P6.9: CRAM´ER-RAO LOWER BOUND FOR TIME REVERSAL RANGE ESTIMATORS ............................ 3978IN N-MULTIPATH SCATTERING ENVIRONMENTSForoohar Foroozan, Amir Asif, York University, Canada

SPTM-P6.10: PHASE-ONLY INFORMATION LOSS ........................................................................................................... 3982Barry Quinn, Macquarie University, Australia

SPTM-P6.11: SPARSE SIGNAL RECOVERY IN THE PRESENCE OF CORRELATED .............................................. 3986MULTIPLE MEASUREMENT VECTORSZhilin Zhang, Bhaskar D. Rao, University of California, San Diego, United States

SPTM-P6.12: ON UNBIASED ESTIMATION OF SPARSE VECTORS CORRUPTED BY ............................................ 3990GAUSSIAN NOISEAlexander Jung, Vienna University of Technology, Austria; Zvika Ben-Haim, Technion - Israel Institute of Technology, Israel; Franz Hlawatsch, Vienna University of Technology, Austria; Yonina C. Eldar, Technion - Israel Institute of Technology, Israel

SPTM-P7: SAMPLING AND RECONSTRUCTION

SPTM-P7.1: DISTRIBUTIONAL TIME-DOMAIN SYSTEM REPRESENTATIONS ...................................................... 3994Ullrich Mönich, Holger Boche, Technische Universität Berlin, Germany

SPTM-P7.2: RECONSTRUCTION OF SPARSE SIGNALS FROM DISTORTED ........................................................... 3998RANDOMIZED MEASUREMENTSPetros Boufounos, Mitsubishi Electric Research Laboratories, United States

SPTM-P7.3: TRELLIS QUANTIZATION OF FRAMES ....................................................................................................... 4002Mohamed Mansour, Texas Instuments Inc., United States

SPTM-P7.4: A NOVEL APPROACH FOR PREPROCESSING ANALOG SIGNAL USING .......................................... 4006NUMBER THEORETIC TRANSFORMDuc-Minh Pham, A.B. Premkumar, A.S. Madhukumar, Nanyang Technological Univeristy, Singapore

SPTM-P7.5: APPLICATION OF $\ELL_P$-REGULARIZED LEAST SQUARES FOR $0 \LEQ P .............................. 4010\LEQ 1$ IN ESTIMATING DISCRETE SPECTRUM MODELS FROM SPARSE FREQUENCY MEASUREMENTSMu-Hsin Wei, James McClellan, Waymod Scott, Georgia Institute of Technology, United States

SPTM-P7.6: RECONSTRUCTION OF SPARSE SIGNALS FROM L1 .............................................................................. 4014DIMENSIONALITY-REDUCED CAUCHY RANDOM-PROJECTIONSGonzalo Arce, Daniel Otero, Ana Ramirez, Jose-Luis Paredes, University of Delaware, United States

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SPTM-P7.7: LEARNING SPARSE SYSTEMS AT SUB-NYQUIST RATES: A ................................................................ 4018FREQUENCY-DOMAIN APPROACHMartin McCormick, University of Illinois at Urbana-Champaign, United States; Yue Lu, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SPTM-P7.8: AN L0 NORM BASED METHOD FOR FREQUENCY ESTIMATION FROM .......................................... 4022IRREGULARLY SAMPLED DATAMd Mashud Hyder, Kaushik Mahata, University of Newcastle, Australia

SPTM-P7.9: A STUDY OF A LOCAL-FEATURES-AWARE MODEL FOR THE PROBLEM OF ............................... 4026PHASE RECONSTRUCTION FROM THE MAGNITUDE SPECTROGRAMBertrand Nouvel, Centre National de la Recherche Scientifique, Japan

SPTM-P7.10: MORPHOLOGICAL WAVELETS AND THE COMPLEXITY OF DYADIC .......................................... 4030TREESZhen Xiang, Peter Ramadge, Princeton University, United States

SPTM-P7.11: A FAST ALGORITHM FOR THE CONSTRAINED FORMULATION OF .............................................. 4034COMPRESSIVE IMAGE RECONSTRUCTION AND OTHER LINEAR INVERSE PROBLEMSManya Afonso, José Bioucas-Dias, Mário Figueiredo, Instituto Superior Técnico, Portugal

SPTM-P7.12: ON COMPRESSED BLIND DE-CONVOLUTION OF FILTERED SPARSE ........................................... 4038PROCESSESManqi Zhao, Venkatesh Saligrama, Boston University, United States

SPTM-P8: SIGNAL AND SYSTEM MODELING AND ESTIMATION I

SPTM-P8.1: ON THE ANALYSIS OF BACKGROUND SUBTRACTION TECHNIQUES USING ............................... 4042GAUSSIAN MIXTURE MODELSPhilippe Loic Marie Bouttefroy, Abdesselam Bouzerdoum, University of Wollongong, Australia; Azeddine Beghdadi, Universite Paris 13, France; Son Lam Phung, University of Wollongong, Australia

SPTM-P8.2: FREQUENCY DOMAIN ADAPTIVE TAP PARTIAL UPDATE ADAPTIVE ............................................ 4046ALGORITHM FOR NETWORK ECHO CANCELLATIONJie Yang, Gerald Sobelman, University of Minnesota, United States

SPTM-P8.3: A TERNARY PULSE COMPRESSION CODE: DESIGN AND APPLICATION TO ................................ 4050RADAR SYSTEMLei Xu, Qilian Liang, Unversity of Texas at Arlington, United States; Ting Jiang, Beijing University of Posts and Telecommunication, China

SPTM-P8.4: GENERALIZED DISCRETE FOURIER TRANSFORM WITH OPTIMUM .............................................. 4054CORRELATIONSAli Akansu, Handan Agirman-Tosun, New Jersey Institute of Technology, United States

SPTM-P8.5: BAYESIAN COMPRESSED SENSING USING GENERALIZED CAUCHY .............................................. 4058PRIORSRafael Carrillo, Tuncer Aysal, Kenneth Barner, University of Delaware, United States

SPTM-P8.6: EFFICIENT ADAPTIVE DFT-DOMAIN VOLTERRA FILTERS USING AN ........................................... 4062AUTOMATICALLY CONTROLLED NUMBER OF QUADRATIC KERNEL DIAGONALSMarcus Zeller, University of Erlangen-Nuremberg, Germany; Luis A. Azpicueta-Ruiz, Jeronimo Arenas-Garcia, Universidad Carlos III de Madrid, Spain; Walter Kellermann, University of Erlangen-Nuremberg, Germany

SPTM-P8.7: CONSTANT ENVELOPE WAVEFORM DESIGN FOR MIMO RADAR .................................................... 4066Sajid Ahmed, John Thomson, Bernard Mulgrew, University of Edinburgh, United Kingdom; Yvan Petillot, Heriot-Watt University, United Kingdom

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SPTM-P8.9: APPROXIMATE EIGENVALUE DECOMPOSITION OF PARA-HERMITIAN ...................................... 4074SYSTEMS THROUGH SUCCESSIVE FIR PARAUNITARY TRANSFORMATIONSAndre Tkacenko, Jet Propulsion Laboratory, United States

SPTM-P8.10: AN ESTIMATION METHOD FOR THE RELATIVE PHASE PARAMETERS OF ................................ 4078COMPLEX WAVELET COEFFICIENTS IN NOISEYothin Rakvongthai, Soontorn Oraintara, University of Texas at Arlington, United States

SPTM-P8.11: FURTHER RESULTS ON SIGNAL CONCENTRATION IN TIME-FREQUENCY ................................ 4082Liying Wei, Rodney Kennedy, Tharaka Lamahewa, Australian National University, Australia

SPTM-P9: SIGNAL AND SYSTEM MODELING AND ESTIMATION II

SPTM-P9.1: A HIERARCHICAL BAYESIAN MODEL FOR FRAME REPRESENTATION ........................................ 4086Lotfi Chaâri, Jean-Christophe Pesquet, Université Paris-Est, France; Jean-Yves Tourneret, University of Toulouse, France; Philippe Ciuciu, CEA-NeuroSpin, France; Amel Benazza-Benyahia, SUP’COM, Tunisia

SPTM-P9.2: COMPRESSIVE SENSING SIGNAL RECONSTRUCTION BY WEIGHTED ........................................... 4090MEDIAN REGRESSION ESTIMATESJose Paredes, Universidad de Los Andes, Venezuela; Gonzalo Arce, University of Delaware, United States

SPTM-P9.3: FRAME DOMAIN SIGNAL PROCESSING: FRAMEWORK AND APPLICATIONS .............................. 4094Amina Chebira, Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland; Matthew Fickus, Air Force Institute of Technology, United States; Martin Vetterli, Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland

SPTM-P9.4: QUASI PERFECT RECONSTRUCTION FREQUENCY WARPING OPERATOR ................................... 4098Salvatore Caporale, Luca De Marchi, Nicolò Speciale, University of Bologna, Italy

SPTM-P9.5: OBJECTIVE QUALITY ASSESSMENT OF SPEECH ENHANCEMENT .................................................. 4102ALGORITHMS USING BOOTSTRAP-BASED MULTIPLE HYPOTHESES TESTSZhihua Lu, Philipp Heidenreich, Abdelhak Zoubir, Technische Universität Darmstadt, Germany

SPTM-P9.6: ENERGY CONCENTRATION ENHANCEMENT USING WINDOW WIDTH ......................................... 4106OPTIMIZATION IN S TRANSFORMSoo-Chang Pei, Pai-Wei Wang, National Taiwan University, Taiwan

SPTM-P9.7: IDENTIFICATION OF LINEAR SYSTEMS IN CANONICAL FORM THROUGH ................................. 4110AN EM FRAMEWORKPavlos Papadopoulos, Vassilis Digalakis, Technical University of Crete, Greece

SPTM-P9.8: SIMULTANEOUS SEARCH FOR ALL MODES IN MULTILINEAR MODELS ....................................... 4114Petr Tichavsky, Institute of Information Theory and Automation, Czech Republic; Zbynek Koldovsky, Technical University of Liberec, Czech Republic

SPTM-P9.9: A STUDY OF THE EFFECT OF UNCERTAINTIES WHEN CALCULATING THE ............................... 4118SINGULAR VALUE DECOMPOSITION OF A POLYNOMIAL MATRIXJoanne Foster, Loughborough University, United Kingdom; John McWhirter, Cardiff University, United Kingdom; Martin Davies, Jonathon Chambers, Loughborough University, United Kingdom

SPTM-P9.10: A SPARSE COMPONENT MODEL OF SOURCE SIGNALS AND ITS .................................................... 4122APPLICATION TO BLIND SOURCE SEPARATIONYu Kitano, University of Tokyo, Japan; Hirokazu Kameoka, NTT Communication Science Laboratories, NTT Corporation, Japan; Yosuke Izumi, Nobutaka Ono, Shigeki Sagayama, University of Tokyo, Japan

SPTM-P9.11: UNDERDETERMINED BLIND SOURCE SEPARATION BASED ON ..................................................... 4126CONTINUOUS DENSITY HIDDEN MARKOV MODELXiaoming Zhu, Keshab K. Parhi, University of Minnesota, United States

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SPTM-P9.12: IMPROVING THE PERFORMANCE OF MODEL-ORDER SELECTION ............................................. 4130CRITERIA BY PARTIAL-MODEL SELECTION SEARCHWeaam Alkhaldi, Technische Universitaet Darmstadt, Germany; D. Robert Iskander, Queensland University of Technology, Australia; Abdelhak M. Zoubir, Technische Universitaet Darmstadt, Germany

SPTM-P10: SIGNAL PROCESSING APPLICATIONS

SPTM-P10.1: QUATERNIONIC WAVELETS FOR TEXTURE CLASSIFICATION ...................................................... 4134Raphaël Soulard, Philippe Carré, University of Poitiers, France

SPTM-P10.2: TEMPORALLY CONSTRAINED SCA WITH APPLICATIONS TO EEG DATA ................................... 4138Nasser El-Saied, James Reilly, McMaster University, Canada; Gary Hasey, Duncan MacCrimmon, St. Joseph’s Hospital, Canada

SPTM-P10.3: PARAFAC WITH ORTHOGONALITY IN ONE MODE AND APPLICATIONS IN .............................. 4142DS-CDMA SYSTEMSMikael Sorensen, Laboratoire I3S, CNRS/UNSA, France; Lieven De Lathauwer, Katholieke Universiteit Leuven, Belgium; Luc Deneire, University of Nice, France

SPTM-P10.4: BLIND SOURCE EXTRACTION OF CYCLOSTATIONARY SOURCES WITH ................................... 4146COMMON CYCLIC FREQUENCIESFoad Ghaderi, Bahador Makkiabadi, john McWhirter, Saeid Sanei, Cardiff university, United Kingdom

SPTM-P10.5: A NEW SPARSITY-ENABLED SIGNAL SEPARATION METHOD BASED ON ................................... 4150SIGNAL RESONANCEIvan Selesnick, Polytechnic Institute of New York University, United States

SPTM-P10.6: OPTIMIZATION OF A MAXIMUM ENTROPY CRITERION FOR 2D NUCLEAR .............................. 4154MAGNETIC RESONANCE RECONSTRUCTIONEmilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, Institut de Recherche en Communication et Cybernétique de Nantes, France; François Mariette, Centre national du machinisme agricole, du génie rural, des eaux et des forêts, France

SPTM-P10.7: A NOVEL DIGITAL CALIBRATION TECHNIQUE FOR GAIN AND OFFSET .................................... 4158MISMATCH IN PARALLEL TIS? ADCSAli Beydoun, Van Tam Nguyen, Patrick Loumeau, Institut TELECOM - TELECOM ParisTech, France

SPTM-P10.8: SPARSE BAYESIAN STEP-FILTERING FOR HIGH-THROUGHPUT ANALYSIS .............................. 4162OF MOLECULAR MACHINE DYNAMICSMax A. Little, Nick S. Jones, University of Oxford, United Kingdom

SPTM-P10.9: COMPRESSIVE LIST-SUPPORT RECOVERY FOR COLLUDER .......................................................... 4166IDENTIFICATIONHoa Pham, Wei Dai, Olgica Milenkovic, University of Illinois at Urbana-Champaign, United States

SPTM-P10.10: A NOVEL SPARSE CODING MODEL BASED ON STRUCTURAL SIMILARITY .............................. 4170Zhiqing Li, Zhiping Shi, Xi Liu, Zhongzhi Shi, Institute of Computing Technology, Chinese Academy of Sciences, China

SPTM-P10.11: TIME-FREQUENCY BASED BIOLOGICAL SEQUENCE QUERYING ................................................ 4174Lakshminarayan Ravichandran, Antonia Papandreou-Suppappola, Andreas Spanias, Zoe Lacroix, Christophe Legendre, Arizona State University, United States

SPTM-P10.12: COMBINING GENERALIZED LIKELIHOOD RATIO AND M-ESTIMATION .................................. 4178FOR THE DETECTION/COMPENSATION OF GPS MEASUREMENT BIASESFrederic Faurie, Audrey Giremus, Laboratory IMS, France

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SP-L1: ANALYSIS AND MODELING OF SPEECH PRODUCTION

SP-L1.1: AN MRI-BASED ARTICULATORY AND ACOUSTIC STUDY OF LATERAL SOUND ............................... 4182IN AMERICAN ENGLISHXinhui Zhou, Carol Espy-Wilson, University of Maryland, College Park, United States; Mark Tiede, Haskins Laboratories and MIT R.L.E., USA, United States; Suzanne Boyce, University of Cincinnati, United States

SP-L1.2: MORPHOLOGICAL NORMALIZATION OF VOCAL TRACT SHAPE .......................................................... 4186Jianguo Wei, Jianwu Dang, Japan Advanced Institute of Science and Technology/Tianjin University, Japan

SP-L1.3: RECONSTRUCTING THE FULL TONGUE CONTOUR FROM EMA/X-RAY .............................................. 4190MICROBEAMChao Qin, Miguel Carreira-Perpiñán, University of California, Merced, United States

SP-L1.4: A HYBRID PHYSICAL AND STATISTICAL DYNAMIC ARTICULATORY ................................................. 4194FRAMEWORK INCORPORATING ANALYSIS-BY-SYNTHESIS FOR IMPROVED PHONE CLASSIFICATIONZiad Al Bawab, Bhiksha Raj, Richard M. Stern, Carnegie Mellon University, United States

SP-L1.6: EFFECT OF SPEAKING STYLE AND SPEAKING RATE ON FORMANT .................................................... 4202CONTOURSAkiko Amano-Kusumoto, John-Paul Hosom, Oregon Health & Science Universitly, United States

SP-L2: SPEECH ANALYSIS I

SP-L2.1: SINGLE-CHANNEL SOURCE SEPARATION USING SIMPLIFIED-TRAINING ......................................... 4206COMPLEX MATRIX FACTORIZATIONBrian King, Les Atlas, University of Washington, United States

SP-L2.2: ON THE ROBUSTNESS OF THE QUASI-HARMONIC MODEL OF SPEECH ............................................... 4210Yannis Pantazis, University of Crete, Greece; Olivier Rosec, France Telecom, France; Yannis Stylianou, University of Crete, Greece

SP-L2.3: A SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE FOR .............................................................. 4214TIME-FREQUENCY WEIGHTED NOISY SPEECHCees Taal, Richard Hendriks, Richard Heusdens, Delft University of Technology, Netherlands; Jesper Jensen, Oticon A/S, Netherlands

SP-L2.4: A MULTIPITCH TRACKING ALGORITHM FOR NOISY AND REVERBERANT ...................................... 4218SPEECHZhaozhang Jin, DeLiang Wang, Ohio State University, United States

SP-L2.5: ROBUST SPEAKING RATE ESTIMATION USING BROAD PHONETIC CLASS ........................................ 4222RECOGNITION Jiahong Yuan, Mark Liberman, University of Pennsylvania, United States

SP-L2.6: CLAP YOUR HANDS! CALIBRATING SPECTRAL SUBTRACTION FOR ................................................... 4226DEREVERBERATIONUwe Zäh, Korbinian Riedhammer, Tobias Bocklet, Elmar Nöth, Universität Erlangen-Nürnberg, Germany

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SP-L3: SPEECH SYNTHESIS I

SP-L3.1: MINIMUM GENERATION ERROR TRAINING WITH WEIGHTED EUCLIDEAN .................................... 4230DISTANCE ON LSP FOR HMM-BASED SPEECH SYNTHESISMing Lei, Zhen-Hua Ling, Li-Rong Dai, University of Science and Technology of China, China

SP-L3.2: FACTOR ANALYZED VOICE MODELS FOR HMM-BASED SPEECH SYNTHESIS................................... 4234Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

SP-L3.3: WORD-LEVEL EMPHASIS MODELLING IN HMM-BASED SPEECH SYNTHESIS ................................... 4238Kai Yu, Francois Mairesse, Steve Young, Cambridge University, United Kingdom

SP-L3.4: STATISTICAL PARAMETRIC SPEECH SYNTHESIS BASED ON PRODUCT OF ...................................... 4242EXPERTSHeiga Zen, Mark Gales, Toshiba Research Europe Ltd., United Kingdom; Yoshihiko Nankaku, Keiichi Tokuda, Nagoya Institute of Technology, Japan

SP-L3.5: ANALYSIS/SYNTHESIS OF SPEECH BASED ON AN ADAPTIVE QUASI-HARMONIC ........................... 4246PLUS NOISE MODELYannis Pantazis, Georgios Tzedakis, University of Crete, Greece; Olivier Rosec, France Telecom, France; Yannis Stylianou, University of Crete, Greece

SP-L3.6: STATISTICAL APPROACH TO ENHANCING ESOPHAGEAL SPEECH BASED ON ................................ 4250GAUSSIAN MIXTURE MODELSHironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan

SP-L4: SPEECH ENHANCEMENT I

SP-L4.1: SPEECH PRESENCE PROBABILITY ESTIMATION BASED ON TEMPORAL ........................................... 4254CEPSTRUM SMOOTHINGTimo Gerkmann, Martin Krawczyk, Rainer Martin, Ruhr-Universität Bochum, Germany

SP-L4.2: SPEECH PRESENCE PROBABILITY ESTIMATION BASED ON INTEGRATED ....................................... 4258TIME-FREQUENCY MINIMUM TRACKING FOR SPEECH ENHANCEMENT IN ADVERSE ENVIRONMENTSZhong-Hua Fu, Northwestern Polytechnical University, China; Jhing-Fa Wang, National Cheng Kung University, Taiwan

SP-L4.3: SINUSOIDAL MASKS FOR SINGLE CHANNEL SPEECH SEPARATION ..................................................... 4262Pejman Mowlaee, Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg university, Denmark

SP-L4.4: MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY ............................................................ 4266Richard Hendriks, Richard Heusdens, Delft University of Technology, Netherlands; Jesper Jensen, Oticon A/S, Denmark

SP-L4.5: NOISY SPEECH ENHANCEMENT BASED ON PRIOR KNOWLEDGE ABOUT ......................................... 4270SPECTRAL ENVELOPE AND HARMONIC STRUCTURETakuya Yoshioka, Tomohiro Nakatani, Nippon Telegraph and Telephone Corporation, Japan; Hiroshi G. Okuno, Kyoto University, Japan

SP-L4.6: BINAURAL LOUDNESS BASED SPEECH REINFORCEMENT WITH A ...................................................... 4274CLOSED-FORM SOLUTIONHo Seon Shin, Min-Seok Choi, Yonsei University, Republic of Korea; Taesu Kim, LG Electronics Advanced Research Institute, Republic of Korea; Hong-Goo Kang, Yonsei University, Republic of Korea

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SP-L5: ROBUST SPEECH RECOGNITION I

SP-L5.1: LEARNING BASED AUDITORY ENCODING FOR ROBUST SPEECH ......................................................... 4278RECOGNITIONYu-Hsiang Chiu, Bhiksha Raj, Richard Stern, Carnegie Mellon University, United States

SP-L5.2: MAXIMUM-LIKELIHOOD-BASED CEPSTRAL INVERSE FILTERING FOR BLIND ............................... 4282SPEECH DEREVERBERATIONKshitiz Kumar, Richard Stern, Carnegie Mellon University, United States

SP-L5.3: ROBUST SPECTRO-TEMPORAL FEATURES BASED ON AUTOREGRESSIVE ........................................ 4286MODELS OF HILBERT ENVELOPESSriram Ganapathy, Samuel Thomas, Hynek Hermansky, Johns Hopkins University, United States

SP-L5.4: ON NOISE ESTIMATION FOR ROBUST SPEECH RECOGNITION USING ................................................ 4290VECTOR TAYLOR SERIESYong Zhao, Biing-Hwang Juang, Georgia Institute of Technology, United States

SP-L5.5: ON EXPECTATION MAXIMIZATION BASED CHANNEL AND NOISE ESTIMATION ............................ 4294BEYOND THE VECTOR TAYLOR SERIES EXPANSIONFriedrich Faubel, John McDonough, Dietrich Klakow, Saarland University, Germany

SP-L5.6: MODEL-BASED DEREVERBERATION IN THE LOGMELSPEC DOMAIN FOR ....................................... 4298ROBUST DISTANT-TALKING SPEECH RECOGNITIONArmin Sehr, Roland Maas, Walter Kellermann, University of Erlangen-Nuremberg, Germany

SP-L6: ADAPTATION FOR ASR

SP-L6.1: ASPECT-MODEL-BASED REFERENCE SPEAKER WEIGHTING ................................................................. 4302Seongjun Hahm, Yuichi Ohkawa, Masashi Ito, Tohoku University, Japan; Motoyuki Suzuki, University of Tokushima, Japan; Akinori Ito, Shozo Makino, Tohoku University, Japan

SP-L6.2: SPEAKING RATE ADAPTATION USING CONTINUOUS FRAME RATE .................................................... 4306NORMALIZATIONStephen Chu, IBM T. J. Watson Research Center, United States; Daniel Povey, Microsoft Research, United States

SP-L6.3: A NOVEL ESTIMATION OF FEATURE-SPACE MLLR FOR FULL-COVARIANCE ................................. 4310MODELSArnab Ghoshal, Saarland University, Germany; Daniel Povey, Microsoft Research, United States; Mohit Agarwal, Indian Institute of Information Technology, Allahabad, India; Pinar Akyazi, Bogaziçi University, Turkey; Lukas Burget, Brno University of Technology, Czech Republic; Kai Feng, Hong Kong University of Science and Technology, Hong Kong SAR of China; Ondrej Glembek, Brno University of Technology, Czech Republic; Nagendra Goel, Go-Vivace Inc., United States; Martin Karafiat, Brno University of Technology, Czech Republic; Ariya Rastrow, Johns Hopkins University, United States; Richard Rose, McGill University, Canada; Petr Schwarz, Brno University of Technology, Czech Republic; Samuel Thomas, Johns Hopkins University, United States

SP-L6.4: ON THE USE OF FEATURE-SPACE MLLR ADAPTATION FOR NON-NATIVE ........................................ 4314SPEECH RECOGNITIONYoo Rhee Oh, Hong Kook Kim, Gwangju Institute of Science and Technology, Republic of Korea

SP-L6.5: DISCRIMINATIVE LINEAR−TRANSFORM BASED ADAPTATION USING MINIMUM .......................... 4318VERIFICATION ERRORSunghwan Shin, Georgia Institute of Technology, United States; Ho-Young Jung, Electronics and Telecommunications Research Instititute (ETRI), United States; Tae-Yoon Kim, Biing-Hwang (Fred) Juang, Georgia Institute of Technology, United States

SP-L6.6: ADAPTING NOISY SPEECH MODELS - EXTENDED UNCERTAINTY DECODING .................................. 4322Jianhua Lu, Ming Ji, Roger Woods, Queen’s University Belfast, United Kingdom

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SP-L7: ACOUSTIC MODELING I

SP-L7.1: COVARIANCE CLUSTERING ON RIEMANNIAN MANIFOLDS FOR ACOUSTIC .................................... 4326MODEL COMPRESSIONYusuke Shinohara, Takashi Masuko, Masami Akamine, Toshiba Corporation, Japan

SP-L7.2: SUBSPACE GAUSSIAN MIXTURE MODELS FOR SPEECH RECOGNITION.............................................. 4330Daniel Povey, Microsoft, United States; Lukas Burget, Brno University of Technology, Czech Republic; Mohit Agarwal, Indian Institute of Information Technology, Allahabad, India; Pinar Akyazi, Bogaziçi University, Turkey; Kai Feng, Hong Kong University of Science and Technology, Hong Kong SAR of China; Arnab Ghoshal, Saarland University, Germany; Ondrej Glembek, Brno University of Technology, Czech Republic; Nagendra Goel, Go-Vivace Inc., United States; Martin Karafiat, Brno University of Technology, Czech Republic; Ariya Rastrow, Johns Hopkins University, United States; Richard Rose, McGill University, Canada; Petr Schwarz, Brno University of Technology, Czech Republic; Samuel Thomas, Johns Hopkins University, United States

SP-L7.3: MULTILINGUAL ACOUSTIC MODELING FOR SPEECH RECOGNITION BASED ................................. 4334ON SUBSPACE GAUSSIAN MIXTURE MODELSLukas Burget, Petr Schwarz, Brno University of Technology, Czech Republic; Mohit Agarwal, Indian Institute of Information Technology, Allahabad, India; Pinar Akyazi, Bogaziçi University, Turkey; Kai Feng, Hong Kong University of Science and Technology, Hong Kong SAR of China; Arnab Ghoshal, Saarland University, Germany; Ondrej Glembek, Brno University of Technology, Czech Republic; Nagendra Goel, Go-Vivace Inc., United States; Martin Karafiat, Brno University of Technology, Czech Republic; Daniel Povey, Microsoft, United States; Ariya Rastrow, Johns Hopkins University, United States; Richard Rose, McGill University, Canada; Samuel Thomas, Johns Hopkins University, United States

SP-L7.4: DISCRIMINATIVE TEMPLATE EXTRACTION FOR DIRECT MODELING ............................................... 4338Shankar Shivappa, University of California, San Diego, United States; Patrick Nguyen, Geoffrey Zweig, Microsoft Research, United States

SP-L7.5: SELECTING STATIC AND DYNAMIC FEATURES USING AN ADVANCED .............................................. 4342AUDITORY MODEL FOR SPEECH RECOGNITIONChristos Koniaris, Saikat Chatterjee, W. Bastiaan Kleijn, KTH - Royal Institute of Technology, Sweden

SP-L7.6: SPARSE CODING FOR SPEECH RECOGNITION .............................................................................................. 4346Sivaram Garimella, Sridhar Krishna Nemala, Mounya Elhilali, Trac D. Tran, Hynek Hermansky, Johns Hopkins University, United States

SP-L8: NEW ALGORITHMS FOR ASR

SP-L8.1: SPEECH MODELING BASED ON COMMITTEE-BASED ACTIVE LEARNING .......................................... 4350Yuzo Hamanaka, Koichi Shinoda, Sadaoki Furui, Tokyo Institute of Technology, Japan; Tadashi Emori, NEC Information Systems, Ltd., Japan; Takafumi Koshinaka, NEC Corporation, Japan

SP-L8.2: PHONE RECOGNITION USING RESTRICTED BOLTZMANN MACHINES ................................................ 4354Abdel-rahman Mohamed, Geoffrey Hinton, University of Toronto, Canada

SP-L8.3: CONTEXT DEPENDENT PHONETIC STRING EDIT DISTANCE FOR ......................................................... 4358AUTOMATIC SPEECH RECOGNITIONJasha Droppo, Alex Acero, Microsoft Research, United States

SP-L8.4: DETECTION-BASED SPEECH RECOGNITION WITH SPARSE POINT PROCESS ................................... 4362MODELSAren Jansen, Johns Hopkins University, United States; Partha Niyogi, University of Chicago, United States

SP-L8.5: TOWARDS MULTI-SPEAKER UNSUPERVISED SPEECH PATTERN DISCOVERY .................................. 4366Yaodong Zhang, James Glass, Massachusetts Institute of Technology, United States

SP-L8.6: BAYESIAN COMPRESSIVE SENSING FOR PHONETIC CLASSIFICATION ............................................... 4370Tara Sainath, IBM T. J. Watson Research Center, United States; Avishy Carmi, University of Cambridge, United Kingdom; Dimitri Kanevsky, Bhuvana Ramabhadran, IBM T. J. Watson Research Center, United States

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SP-L9: LARGE VOCABULARY ASR

SP-L9.1: THE 2009 IBM GALE MANDARIN BROADCAST TRANSCRIPTION SYSTEM ........................................... 4374Stephen Chu, Daniel Povey, Hong-Kwang Kuo, Lidia Mangu, IBM T. J. Watson Research Center, United States; Shilei Zhang, Qin Shi, Yong Qin, IBM China Research Lab, China

SP-L9.2: THE IBM 2008 GALE ARABIC SPEECH TRANSCRIPTION SYSTEM ........................................................... 4378George Saon, Hagen Soltau, Upendra Chaudhari, Stephen Chu, Brian Kingsbury, Hong-Kwang Kuo, Lidia Mangu, IBM T. J. Watson Research Center, United States; Daniel Povey, Microsoft Research, United States

SP-L9.3: RECENT IMPROVEMENTS TO THE CAMBRIDGE ARABIC SPEECH-TO-TEXT .................................... 4382SYSTEMSMarcus Tomalin, Frank Diehl, Mark Gales, Junho Park, Phil Woodland, University of Cambridge, United Kingdom

SP-L9.4: SEMANTIC CACHE MODEL DRIVEN SPEECH RECOGNITION .................................................................. 4386Benjamin Lecouteux, Pascal Nocéra, Georges Linarès, LIA ceri, université d’Avignon, France

SP-L9.5: LEVERAGING SPEAKER DIARIZATION FOR MEETING RECOGNITION FROM ................................. 4390DISTANT MICROPHONESAndreas Stolcke, SRI International, United States; Gerald Friedland, David Imseng, International Computer Science Institute, United States

SP-L9.6: A COMPARATIVE STUDY ON SYSTEM COMBINATION SCHEMES FOR LVCSR .................................. 4394Chengyuan Ma, Georgia Institute of Technology, United States; Hong-Kwang Jeff Kuo, Hagen Soltau, Xiaodong Cui, Upendra Chaudhari, Lidia Mangu, IBM T. J. Watson Research Center, United States; Chin-Hui Lee, Georgia Institute of Technology, United States

SP-L10: SPEAKER RECOGNITION I

SP-L10.1: A NOVEL APPROACH TO DETECTING NON-NATIVE SPEAKERS AND THEIR ................................... 4398NATIVE LANGUAGEMohamed Omar, Jason Pelecanos, IBM, United States

SP-L10.2: EFFICIENT SCORE NORMALIZATION FOR SPEAKER RECOGNITION ................................................. 4402Hagai Aronowitz, IBM, Israel; Vanessia Aronowitz, Hebrew University, Israel

SP-L10.3: ACROSS-PHONE VARIABILITY AND DIAGONAL TERM IN JOINT FACTOR ...................................... 4406ANALYSIS FOR SPEAKER RECOGNITIONSachin Kajarekar, SRI International, United States

SP-L10.4: ON THE USE OF SPEAKER SUPERFACTORS FOR SPEAKER RECOGNITION ...................................... 4410Nicolas Scheffer, SRI International, United States; Robbie Vogt, Queensland University of Technology, Australia

SP-L10.5: A COMPARISON OF APPROACHES FOR MODELING PROSODIC FEATURES IN ............................... 4414SPEAKER RECOGNITIONLuciana Ferrer, Nicolas Scheffer, Elizabeth Shriberg, SRI International, United States

SP-L10.6: INVESTIGATIONS INTO PROSODIC SYLLABLE CONTOUR FEATURES FOR ..................................... 4418SPEAKER RECOGNITIONMarcel Kockmann, Brno University of Technology / SVOX, Germany; Lukas Burget, Jan Cernocky, Brno University of Technology, Czech Republic

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SP-L11: SPEAKER VERIFICATION

SP-L11.1: AN ACOUSTIC SEGMENT MODEL APPROACH TO INCORPORATING TEMPORAL ......................... 4422INFORMATION INTO SPEAKER MODELING FOR TEXT-INDEPENDENT SPEAKER RECOGNITIONYu Tsao, National Institute of Information and Communications Technology, Japan; Hanwu Sun, Haizhou Li, Institute for Infocomm Research, A*STAR, Singapore; Chin-Hui Lee, Georgia Institute of Technology, United States

SP-L11.3: JOINT SINGLE-CHANNEL SPEECH SEPARATION AND SPEAKER ......................................................... 4430IDENTIFICATIONPejman Mowlaee, Aalborg university, Denmark; Rahim Saiedi, University of Joensuu, Finland; Zheng-Hua Tan, Mads Græsbøll Christensen, Aalborg university, Denmark; Pasi Fr¨anti, University of Joensuu, Finland; Søren Holdt Jensen, Aalborg university, Denmark

SP-L11.4: EXPLOITING MULTIPLE FEATURE SETS IN DATA-DRIVEN IMPOSTOR ............................................ 4434DATASET SELECTION FOR SPEAKER VERIFICATIONMitchell McLaren, Brendan Baker, Robbie Vogt, Sridha Sridharan, Queensland University of Technology, Australia

SP-L11.5: N-GRAM NEAREST NEIGHBOR ALGORITHM FOR VOICE PASSWORD SYSTEM .............................. 4438Wu Guo, Zhao Zhang, Yanhua Long, Lirong Dai, University of Science and Technology of China, China

SP-L11.6: BOOSTED BINARY FEATURES FOR NOISE-ROBUST SPEAKER VERIFICATION................................ 4442Anindya Roy, Mathew Magimai.-Doss, Sebastien Marcel, Idiap Research Institute, Switzerland

SP-P1: CONFIDENCE MEASURES FOR ASR/SPEECH ACTIVITY DETECTION

SP-P1.1: WORD CONFIDENCE CALIBRATION USING A MAXIMUM ENTROPY MODEL .................................... 4446WITH CONSTRAINTS ON CONFIDENCE AND WORD DISTRIBUTIONSDong Yu, Microsoft Research, United States; Shizhen Wang, University of California, Los Angeles, United States; Jinyu Li, Microsoft Corporation, United States; Li Deng, Microsoft Research, United States

SP-P1.2: SEMANTIC CONFIDENCE CALIBRATION FOR SPOKEN DIALOG APPLICATIONS ............................. 4450Dong Yu, Li Deng, Microsoft Research, United States

SP-P1.3: DISCRIMINATIVE CONFIDENCE AND ERROR CAUSE ESTIMATION FOR ............................................ 4454EXTENDED SPEECH RECOGNITION FUNCTIONAtsunori Ogawa, Atsushi Nakamura, NTT Corporation, Japan

SP-P1.4: A MINIMUM VARIANCE ASYNCHRONOUS DETECTION ERROR TRADE-OFF .................................... 4458PERFORMANCE ANALYSIS FOR MULTI-CLASS DETECTION PROBLEMSKhe Chai Sim, National University of Singapore, Singapore

SP-P1.5: USING ONLINE MODEL COMPARISON IN THE VARIATIONAL BAYES ................................................. 4462FRAMEWORK FOR ONLINE UNSUPERVISED VOICE ACTIVITY DETECTIONDavid Cournapeau, Kyoto University, Japan; Shinji Watanabe, Atsushi Nakamura, NTT, Japan; Tatsuya Kawahara, Kyoto University, Japan

SP-P1.6: VOICE ACTIVITY DETECTION USING HARMONIC FREQUENCY ............................................................ 4466COMPONENTS IN LIKELIHOOD RATIO TESTLee Ngee Tan, Bengt Borgstrom, Abeer Alwan, University of California, Los Angeles, United States

SP-P1.7: NOISE ROBUST VOICE ACTIVITY DETECTION USING NORMAL PROBABILITY ............................... 4470TESTING AND TIME-DOMAIN HISTOGRAM ANALYSISHouman Ghaemmaghami, David Dean, Sridha Sridharan, Iain McCowan, Queensland University of Technology, Australia

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SP-P1.8: EVALUATING THE ROBUSTNESS OF PRIVACY-SENSITIVE AUDIO FEATURES ................................. 4474FOR SPEECH DETECTION IN PERSONAL AUDIO LOG SCENARIOSSree Hari Krishnan Parthasarathi, Mathew Magimai-Doss, Herve Bourlard, Daniel Gatica-Perez, Idiap Research Institute, Switzerland

SP-P1.9: A NEW APPROACH FOR ROBUST REAL-TIME VOICE ACTIVITY DETECTION ................................... 4478USING SPECTRAL PATTERNMohammad H. Moattar, Mohammad M. Homayounpour, Nima Khademi Kalantari, Amirkabir University of Technology, Iran

SP-P1.10: IMPROVED VOICE ACTIVITY DETECTION USING STATIC HARMONIC ............................................. 4482FEATURESTakashi Fukuda, Osamu Ichikawa, Masafumi Nishimura, IBM Japan, Japan

SP-P1.11: INTEGRATION OF SPORADIC NOISE MODEL IN POMDP-BASED VOICE ............................................ 4486ACTIVITY DETECTIONChiyoun Park, Namhoon Kim, Jeongmi Cho, Jeongsu Kim, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea

SP-P1.12: CEPSTRAL MEAN BASED SPEECH SOURCE DISCRIMINATION .............................................................. 4490Adam Greenhall, Les Atlas, University of Washington, United States

SP-P2: SPEAKER RECOGNITION II

SP-P2.1: A NOVEL FEATURE SUB-SAMPLING METHOD FOR EFFICIENT UNIVERSAL ..................................... 4494BACKGROUND MODEL TRAINING IN SPEAKER VERIFICATIONTaufiq Hasan, Yun Lei, Aravind Chandrasekaran, John Hansen, University of Texas at Dallas, United States

SP-P2.2: KERNEL MULTIMODAL DISCRIMINANT ANALYSIS FOR SPEAKER ...................................................... 4498VERIFICATIONMin-Seok Kim, Il-Ho Yang, Ha-Jin Yu, University of Seoul, Republic of Korea

SP-P2.3: SPEAKER IDENTIFICATION BY COMBINING MFCC AND PHASE INFORMATION ............................. 4502IN NOISY ENVIRONMENTSLongbiao Wang, Shizuoka University, Japan; Kazue Minami, Kazumasa Yamamoto, Seiichi Nakagawa, Toyohashi University of Technology, Japan

SP-P2.4: KERNELIZED RENYI DISTANCE FOR SPEAKER RECOGNITION .............................................................. 4506Balaji Vasan Srinivasan, Ramani Duraiswami, Dmitry Zotkin, University of Maryland, College Park, United States

SP-P2.6: ROBUST SPEAKER IDENTIFICATION USING AN AUDITORY-BASED FEATURE .................................. 4514Qi Li, Yan Huang, Li Creative Technologies, Inc., United States

SP-P2.7: SPEAKER IDENTIFICATION WITH DISTANT MICROPHONE SPEECH .................................................... 4518Qin Jin, Runxin Li, Carnegie Mellon University, United States; Qian Yang, Karlsruhe University, Germany; Kornel Laskowski, Tanja Schultz, Carnegie Mellon University, United States

SP-P2.8: FISHERVIOCE: A DISCRIMINANT SUBSPACE FRAMEWORK FOR SPEAKER ...................................... 4522RECOGNITIONZhifeng Li, Weiwu Jiang, Helen Meng, Chinese University of Hong Kong, Hong Kong SAR of China

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SP-P2.10: JOINT FRAME AND GAUSSIAN SELECTION FOR TEXT INDEPENDENT .............................................. 4530SPEAKER VERIFICATIONRahim Saeidi, Tomi Kinnunen, University of Joensuu, Finland; Hamid Reza Sadegh Mohammadi, Iranian Research Institute for Electrical Engineering, Iran; Robert Rodman, North Carolina State University, United States; Pasi Fränti, University of Joensuu, Finland

SP-P2.11: BEYOND DODDINGTON MENAGERIE, A FIRST STEP TOWARDS ........................................................... 4534Juliette Kahn, Jean-Francois Bonastre, University of Avignon, France; Solange Rossato, University of Grenoble, France

SP-P2.12: EXPERIMENTS ON DISTANT-TALKING SPEAKER VERIFICATION IN TV ........................................... 4538SCENARIOChristian Zieger, Marco Matassoni, Maurizio Omologo, Fondazione Bruno Kessler, Italy

SP-P3: ROBUST SPEECH RECOGNITION II

SP-P3.1: NOISE ROBUST EXEMPLAR-BASED CONNECTED DIGIT RECOGNITION .............................................. 4546Jort Gemmeke, Radboud University Nijmegen, Netherlands; Tuomas Virtanen, Tampere University of Technology, Finland

SP-P3.2: ACOUSTIC MODEL ADAPTATION VIA LINEAR SPLINE INTERPOLATION FOR ................................. 4550ROBUST SPEECH RECOGNITIONMichael Seltzer, Microsoft Research, United States; Kaustubh Kalgaonkar, Georgia Institute of Technology, United States; Alex Acero, Microsoft Research, United States

SP-P3.3: HMM ADAPTATION USING SPARSE PROBABILISTIC SPACE MAPPING FOR ...................................... 4554NOISY SPEECHKaustubh Kalgaonkar, Mark Clements, Georgia Institute of Technology, United States

SP-P3.4: EFFICIENT VQ-BASED MMSE ESTIMATION FOR ROBUST SPEECH ....................................................... 4558RECOGNITIONJosé A. González, Antonio M. Peinado, Angel M. Gomez, José L. Carmona, Juan A. Morales-Cordovilla, University of Granada, Spain

SP-P3.5: NON-NEGATIVE MATRIX FACTORIZATION AS NOISE-ROBUST FEATURE ......................................... 4562EXTRACTOR FOR SPEECH RECOGNITIONBjoern Schuller, Felix Weninger, Martin Woellmer, Yang Sun, Gerhard Rigoll, Technische Universitaet Muenchen, Germany

SP-P3.6: OPTIMIZING SPECTRAL SUBTRACTION AND WIENER FILTERING FOR ............................................. 4566ROBUST SPEECH RECOGNITION IN REVERBERANT AND NOISY CONDITIONSRandy Gomez, Tatsuya Kawahara, Kyoto University, Japan

SP-P3.7: HMM-BASED PSEUDO-CLEAN SPEECH SYNTHESIS FOR SPLICE ALGORITHM .................................. 4570Jun Du, Yu Hu, Li-Rong Dai, Ren-Hua Wang, University of Science and Technology of China, China

SP-P3.8: FEATURE EXTRACTION FOR ROBUST SPEECH RECOGNITION BASED ON ........................................ 4574MAXIMIZING THE SHARPNESS OF THE POWER DISTRIBUTION AND ON POWER FLOORINGChanwoo Kim, Richard Stern, Carnegie Mellon University, United States

SP-P3.9: HISTOGRAM EQUALIZATION AND NOISE MASKING FOR ROBUST SPEECH ..................................... 4578RECOGNITIONXueru Zhang, Kris Demuynck, Hugo Van hamme, Katholieke Universiteit Leuven, Belgium

SP-P3.10: A KERNEL MEAN MATCHING APPROACH FOR ENVIRONMENT MISMATCH .................................. 4582COMPENSATION IN SPEECH RECOGNITIONAbhishek Kumar, University of Utah, United States; John Hansen, University of Texas at Dallas, United States

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SP-P3.11: MAGNITUDE SPECTRUM ENHANCEMENT FOR ROBUST SPEECH ....................................................... 4586RECOGNITIONWen-Hsiang Tu, Jeih-weih Hung, National Chi Nan University, Taiwan

SP-P3.12: AUDITORY MODEL BASED MODIFIED MFCC FEATURES ........................................................................ 4590Saikat Chatterjee, W. Bastiaan Kleijn, KTH - Royal Institute of Technology, Sweden

SP-P4: SPEECH SYNTHESIS II

SP-P4.1: UNSUPERVISED CROSS-LINGUAL SPEAKER ADAPTATION FOR HMM-BASED .................................. 4594SPEECH SYNTHESISKeiichiro Oura, Keiichi Tokuda, Nagoya Institute of Technology, Japan; Junichi Yamagishi, Simon King, Mirjam Wester, University of Edinburgh, United Kingdom

SP-P4.2: A COMPARISON OF SUPERVISED AND UNSUPERVISED CROSS-LINGUAL .......................................... 4598SPEAKER ADAPTATION APPROACHES FOR HMM-BASED SPEECH SYNTHESISHui Liang, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; John Dines, Idiap Research Institute, Switzerland; Lakshmi Saheer, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SP-P4.3: CROSS-VALIDATION BASED DECISION TREE CLUSTERING FOR HMM-BASED ................................ 4602TTSYu Zhang, Shanghai Jiao Tong University, China; Zhi-Jie Yan, Frank K.Soong, Microsoft Research Asia, China

SP-P4.4: IMPROVED MODELING FOR F0 GENERATION AND V/U DECISION IN .................................................. 4606HMM-BASED TTSQingqing Zhang, Institute of Acoustics, Chinese Academy of Sciences, China; Frank Soong, Yao Qian, Zhijie Yan, Microsoft Research Asia, China; Jielin Pan, Yonghong Yan, Institute of Acoustics, Chinese Academy of Sciences, China

SP-P4.5: SIMPLE METHODS FOR IMPROVING SPEAKER-SIMILARITY OF HMM-BASED ................................. 4610SPEECH SYNTHESISJunichi Yamagishi, Simon King, University of Edinburgh, United Kingdom

SP-P4.6: AN AUTOENCODER NEURAL-NETWORK BASED LOW-DIMENSIONALITY ......................................... 4614APPROACH TO EXCITATION MODELING FOR HMM-BASED TEXT-TO-SPEECHSrikanth Vishnubhotla, University of Maryland, United States; Raul Fernandez, Bhuvana Ramabhadran, IBM Research, United States

SP-P4.7: KALMAN FILTER BASED SPEECH SYNTHESIS ............................................................................................... 4618Carl Quillen, MIT Lincoln Laboratory, United States

SP-P4.8: HMM-BASED SPEECH SYNTHESIS WITH UNSUPERVISED LABELING OF ............................................ 4622ACCENTUAL CONTEXT BASED ON F0 QUANTIZATION AND AVERAGE VOICE MODELTakashi Nose, Koujirou Ooki, Takao Kobayashi, Tokyo Institute of Technology, Japan

SP-P4.9: A COMBINED TIME-VARYING AND TIME-INVARIANT PREDICTION .................................................... 4626ALGORITHM BASED ON LATTICE FILTERS FOR SPEECH ANALYSIS AND SYNTHESISKarl Schnell, Goethe-University Frankfurt am Main, Germany

SP-P4.10: A HMM-BASED SPEECH SYNTHESIS SYSTEM USING A NEW GLOTTAL ............................................. 4630SOURCE AND VOCAL-TRACT SEPARATION METHODPierre Lanchantin, Gilles Degottex, Xavier Rodet, IRCAM, France

SP-P4.11: APPLYING LOG LINEAR MODEL BASED CONTEXT DEPENDENT MACHINE .................................... 4634TRANSLATION TECHNIQUES TO GRAPHEME-TO-PHONEME CONVERSIONRong Zhang, Bowen Zhou, IBM, United States

SP-P4.12: SYNTHESIZING SPEECH FROM DOPPLER SIGNALS .................................................................................. 4638Arthur Toth, Bhiksha Raj, Carnegie Mellon University, United States; Kaustubh Kalgaonkar, Georgia Institute of Technology, United States; Tony Ezzat, Mitsubishi Electric Research Laboratories, United States

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SP-P4.13: UNSUPERVISED CROSS-LINGUAL SPEAKER ADAPTATION FOR HMM-BASED ................................ 4642SPEECH SYNTHESIS USING TWO-PASS DECISION TREE CONSTRUCTIONMatthew Gibson, Cambridge University, United Kingdom; Teemu Hirsimaki, Reima Karhila, Mikko Kurimo, Helsinki University of Technology, Finland; William Byrne, Cambridge University, United Kingdom

SP-P5: SPEECH CODING

SP-P5.1: ESCAPED-HUFFMAN AND ADAPTIVE RECURSIVE RICE CODING FOR ................................................ 4646LOSSLESS COMPRESSION OF THE MAPPED DOMAIN LINEAR PREDICTION RESIDUALNoboru Harada, Yutaka Kamamoto, Takehiro Moriya, Nippon Telegraph and Telephone Corporation, Japan

SP-P5.2: ENHANCING SPARSITY IN LINEAR PREDICTION OF SPEECH BY ITERATIVELY ............................. 4650REWEIGHTED 1-NORM MINIMIZATIONDaniele Giacobello, Mads Græsbøll Christensen, Aalborg University, Denmark; Manohar Murthi, University of Miami, United States; Søren Holdt Jensen, Aalborg University, Denmark; Marc Moonen, Katholieke Universiteit Leuven, Belgium

SP-P5.3: EXTENSION OF THE E-MODEL TOWARDS SUPER-WIDEBAND SPEECH ............................................... 4654TRANSMISSIONMarcel Wältermann, Izabela Tucker, Alexander Raake, Sebastian Möller, Quality and Usability Lab, Deutsche Telekom Laboratories, TU Berlin, Germany

SP-P5.4: EMERGING ITU-T STANDARD G.711.0 — LOSSLESS COMPRESSION OF G.711 .................................... 4658PULSE CODE MODULATIONNoboru Harada, Yutaka Kamamoto, Takehiro Moriya, Yusuke Hiwasaki, Nippon Telegraph and Telephone Corporation, Japan; Michael A. Ramalho, Cisco Systems, Inc., United States; Lorin Netsch, Jacek Stachurski, Texas Instruments Incorporated, United States; Lei Miao, Hervé Taddei, Fengyan Qi, Huawei Technologies, China

SP-P5.5: VOICE QUALITY EVALUATION OF VARIOUS CODECS ............................................................................... 4662Anssi Rämö, Nokia Research Center, Finland

SP-P5.6: FRACTIONAL-BIT AND VALUE-LOCATION LOSSLESS ENCODING IN G.711.0 .................................... 4666CODERJacek Stachurski, Lorin Netsch, Texas Instruments, United States

SP-P5.7: OBJECTIVE QUALITY ESTIMATION OF WIDE-BAND SPEECH USING A ............................................... 4670NARROW-BAND PRIORPetko Petkov, Bastiaan Kleijn, Royal Institute of Technology, KTH, Sweden

SP-P5.8: SUBJECTIVE RATINGS OF INSTANTANEOUS AND GRADUAL TRANSITIONS ..................................... 4674FROM NARROWBAND TO WIDEBAND ACTIVE SPEECHStephen Voran, Institute for Telecommunication Sciences, United States

SP-P5.9: LOW-COMPLEXITY PARCOR COEFFICIENT QUANTIZER AND PREDICTION .................................... 4678ORDER ESTIMATOR FOR LOSSLESS SPEECH CODINGYutaka Kamamoto, Takehiro Moriya, Noboru Harada, Nippon Telegraph and Telephone Corporation, Japan

SP-P5.10: ESTIMATION OF FRAME INDEPENDENT AND ENHANCEMENT COMPONENTS .............................. 4682FOR SPEECH COMMUNICATION OVER PACKET NETWORKSDaniele Giacobello, Aalborg University, Denmark; Manohar Murthi, University of Miami, United States; Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark; Marc Moonen, Katholieke Universiteit Leuven, Belgium

SP-P5.11: AN EFFICIENT TREE-STRUCTURED CODEBOOK DESIGN FOR EMBEDDED ..................................... 4686VECTOR QUANTIZATIONMouloud Djamah, Douglas O’Shaughnessy, INRS-EMT, Canada

SP-P5.12: ENHANCED LOSSLESS CODING TOOLS FOR PREDICTION RESIDUAL ................................................ 4690Takehiro Moriya, Yutaka Kamamoto, Noboru Harada, Nippon Telegraph and Telephone Corporation, Japan

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SP-P5.13: USING CONTEXT DEPENDENT DISTRIBUTIONS FOR CODING PREDICTION ................................... 4694RESIDUALS OF COMPANDED AUDIO SIGNALIoan Tabus, Florin Ghido, Tampere University of Technology, Finland; Adriana Vasilache, Nokia Research Center, Finland

SP-P5.14: RATE-DISTORTION MODELS FOR ENTROPY CONSTRAINED LATTICE ............................................. 4698QUANTIZATION}Adriana Vasilache, Nokia Research Center, Finland

SP-P6: SPEECH ENHANCEMENT AND PERCEPTION

SP-P6.1: SUBBAND MINIMUM CLASSIFICATION ERROR BEAMFORMING FOR SPEECH ................................ 4702RECOGNITION IN REVERBERANT ENVIRONMENTSYuan-Fu Liao, I-Yun Xu, National Taipei University of Technology, Taiwan

SP-P6.2: NOISE AND LATE-REVERBERATION SUPPRESSION IN TIME-VARYING .............................................. 4706ACOUSTICAL ENVIRONMENTSJan Erkelens, Richard Heusdens, Delft University of Technology, Netherlands

SP-P6.3: BINAURAL DEREVERBERATION BASED ON A DUAL-CHANNEL WIENER FILTER ........................... 4710WITH OPTIMIZED NOISE FIELD COHERENCEMarco Jeub, Peter Vary, RWTH Aachen University, Germany

SP-P6.4: A BLIND SUBBAND-BASED DEREVERBERATION ALGORITHM ................................................................ 4714Oldooz Hazrati, Kostas Kokkinakis, Philipos C. Loizou, University of Texas at Dallas, United States

SP-P6.5: OPTIMIZATION OF SWITCHABLE WINDOWS FOR LOW-DELAY SPECTRAL ..................................... 4718ANALYSIS-SYNTHESISDirk Mauler, Rainer Martin, Ruhr-Universität Bochum, Germany

SP-P6.6: ERROR-CORRECTION OF BINARY MASKS USING HIDDEN MARKOV MODELS ................................. 4722Jesper Bünsow Boldt, Michael Syskind Pedersen, Ulrik Kjems, Oticon A/S, Denmark; Mads Græsbøll Christensen, Søren Holdt Jensen, Aalborg University, Denmark

SP-P6.7: SPEECH ENHANCEMENT USING A FREQUENCY-SPECIFIC COMPOSITE ............................................ 4726WIENER FUNCTIONFei Chen, Philipos Loizou, University of Texas at Dallas, United States

SP-P6.8: TOWARDS MORE INTELLIGIBLE PHYSIOLOGICAL MICROPHONE SPEECH: A ............................... 4730PROBABILISTIC TRANSFORMATION APPROACHSeyed Omid Sadjadi, Sanjay A. Patil, John H.L. Hansen, University of Texas at Dallas, United States

SP-P6.9: KALMAN TRACKING LINEAR PREDICTOR FOR VOWEL INTELLIGIBILITY ...................................... 4734ENHANCEMENT ON EUROPEAN PORTUGUESE HMM BASED SPEECH SYNTHESISLuis Pinto Coelho, Polytechnic Institute of Porto, Portugal; Daniela Braga, Microsoft, Portugal; Carmen Garcia-Mateo, University of Vigo, Spain

SP-P6.10: WHY DO SPEECH-ENHANCEMENT ALGORITHMS NOT IMPROVE SPEECH ..................................... 4738INTELLIGIBILITY?Gibak Kim, Philipos Loizou, University of Texas at Dallas, United States

SP-P6.11: A JOINT ACOUSTIC AND PHONOLOGICAL APPROACH TO SPEECH ................................................... 4742INTELLIGIBILITY ASSESSMENTSridhar Krishna Nemala, Mounya Elhilali, The Johns Hopkins University, United States

SP-P6.12: IDENTIFYING CHANNEL-SPECIFIC IMPAIRMENTS IN COCHLEAR IMPLANT ................................. 4746PATIENTS VIA PARTIAL LEAST SQUARES DISCRIMINANT ANALYSIS OF SPEECH-TOKEN CONFUSION MATRICESJeremiah Remus, Clarkson University, United States; Leslie Collins, Duke University, United States

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SP-P7: SPEECH ENHANCEMENT II

SP-P7.1: ON LINEAR VERSUS NON-LINEAR MAGNITUDE-DFT ESTIMATORS AND THE .................................. 4750INFLUENCE OF SUPER-GAUSSIAN SPEECH PRIORSRichard Hendriks, Richard Heusdens, Delft University of Technology, Netherlands

SP-P7.2: SPEECH ENHANCEMENT BY COMBINING STATISTICAL ESTIMATORS OF ........................................ 4754SPEECH AND NOISEYang Lu, Philipos C. Loizou, University of Texas at Dallas, United States

SP-P7.3: SPEECH ENHANCEMENT WITH SPARSE CODING IN LEARNED DICTIONARIES ................................ 4758Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann, ETH Zurich, Switzerland

SP-P7.4: BROAD PHONEME CLASS BASED SPEECH ENHANCEMENT USING MIXTURE .................................. 4762MAXIMUM MODELAmit Das, University of Colorado, Boulder and University of Texas, Dallas, United States; John Hansen, University of Texas at Dallas, United States

SP-P7.5: A FAMILY OF BAYESIAN STSA ESTIMATORS FOR THE ENHANCEMENT OF ..................................... 4766SPEECH WITH CORRELATED FREQUENCY COMPONENTSEric Plourde, Benoit Champagne, McGill University, Canada

SP-P7.6: SPEECH ENHANCEMENT IN PRESENCE OF DIFFUSE BACKGROUND NOISE: .................................... 4770WHY USING BLIND SIGNAL EXTRACTION?Jani Even, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan; Tomoya Takatani, Toyota Motor Corporation, Japan

SP-P7.7: DISTORTIONS IN SPEECH ENHANCEMENT DUE TO BLOCK PROCESSING .......................................... 4774Jorge Marin-Hurtado, David Anderson, Georgia Institute of Technology, United States

SP-P7.8: MMSE STSA ESTIMATOR WITH NONSTATIONARY NOISE ESTIMATION BASED .............................. 4778ON ICA FOR HIGH-QUALITY SPEECH ENHANCEMENTRyoi Okamoto, Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Techology, Japan

SP-P7.9: SPEECH ENHANCEMENT IN TRANSIENT NOISE ENVIRONMENT USING ............................................. 4782DIFFUSION FILTERINGRonen Talmon, Israel Cohen, Technion - Israel Institute of Technology, Israel; Sharon Gannot, Bar-Ilan University, Israel

SP-P7.10: AN AUDITORY-DOMAIN BASED SPEECH ENHANCEMENT ALGORITHM ............................................ 4786Harish Krishnamoorthi, Andreas Spanias, Visar Berisha, Homin Kwon, Harvey Thornburg, Arizona State University, United States

SP-P7.11: WIDEBAND NOISE SUPPRESSION SUPPORTED BY ARTIFICIAL BANDWIDTH ................................. 4790EXTENSION TECHNIQUESThomas Esch, Florian Heese, Bernd Geiser, Peter Vary, RWTH Aachen University, Germany

SP-P7.12: VOICE SOURCE ESTIMATION FOR ARTIFICIAL BANDWIDTH EXTENSION OF ............................... 4794TELEPHONE SPEECHMark Thomas, Imperial College London, United Kingdom; Bernd Geiser, RWTH Aachen University, Germany; Jon Gudnason, Patrick Naylor, Imperial College London, United Kingdom; Peter Vary, RWTH Aachen University, Germany

SP-P8: SPEECH SYNTHESIS III

SP-P8.1: RICH-CONTEXT UNIT SELECTION (RUS) APPROACH TO HIGH QUALITY TTS ................................... 4798Zhi-Jie Yan, Yao Qian, Frank K. Soong, Microsoft Research Asia, China

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SP-P8.2: UNIT SELECTION SPEECH SYNTHESIS USING MULTIPLE SPEECH UNITS AT ................................... 4802NON-ADJACENT SEGMENTS FOR PROSODY AND WAVEFORM GENERATIONMasatsune Tamura, Toshiba Corporation, Japan; Norbert Braunschweiler, Toshiba Research Europe Limited, United Kingdom; Takehiko Kagoshima, Masami Akamine, Toshiba Corporation, Japan

SP-P8.3: PERCEPTUAL EVALUATION OF DYNAMIC COST WEIGHTING FOR UNIT .......................................... 4806SELECTION TTSJerome Bellegarda, Apple Inc., United States

SP-P8.4: SYNTHESIS OF FILLED PAUSES BASED ON A DISFLUENT SPEECH MODEL ........................................ 4810Jordi Adell, Antonio Bonafonte, Universitat Politècnica de Catalunya, Spain; David Escudero, Universidad de Valladolid, Spain

SP-P8.5: PARAMETRIC EMOTIONAL SINGING VOICE SYNTHESIS .......................................................................... 4814Younsung Park, Sungrack Yun, Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea

SP-P8.6: HIGH-QUALITY AND LIGHT-WEIGHT VOICE TRANSFORMATION ENABLING ................................. 4818EXTRAPOLATION WITHOUT PERCEPTUAL AND OBJECTIVE BREAKDOWNHideki Kawahara, Ryuichi Nisimura, Toshio Irino, Wakayama University, Japan; Masanori Morise, Ritsumeikan University, Japan; Toru Takahashi, Kyoto University, Japan; Hideki Banno, Meijo University, Japan

SP-P8.7: NON-PARALLEL TRAINING FOR MANY-TO-MANY EIGENVOICE CONVERSION ............................... 4822Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan

SP-P8.8: PRONUNCIATION VARIATION GENERATION FOR SPONTANEOUS SPEECH ...................................... 4826SYNTHESIS USING STATE-BASED VOICE TRANSFORMATIONChung-Han Lee, Chung-Hsien Wu, Jun-Cheng Guo, National Cheng Kung University, Taiwan

SP-P8.9: HMM-BASED SEQUENCE-TO-FRAME MAPPING FOR VOICE CONVERSION......................................... 4830Yu Qiao, Daisuke Saito, Nobuaki Minematsu, University of Tokyo, Japan

SP-P8.10: HIGH QUALITY VOICE MANIPULATION METHOD BASED ON THE VOCAL ..................................... 4834TRACT AREA FUNCTION OBTAINED FROM SUB-BAND LSP OF STRAIGHT SPECTRUMAyanori Arakawa, Yoshinori Uchimura, Hideki Banno, Fumitada Itakura, Meijo University, Japan; Hideki Kawahara, Wakayama University, Japan

SP-P8.11: VTLN ADAPTATION FOR STATISTICAL SPEECH SYNTHESIS ................................................................. 4838Lakshmi Saheer, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Philip N. Garner, John Dines, Idiap Research Institute, Switzerland; Hui Liang, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SP-P8.12: NORMALIZATION OF TEXT MESSAGES FOR TEXT-TO-SPEECH ........................................................... 4842Deana Pennell, Yang Liu, University of Texas at Dallas, United States

SP-P9: ACOUSTIC MODELING II

SP-P9.1: USING DURATION AND PITCH FOR MANDARIN DIGIT STRING RECOGNITION ................................ 4846Rui Zhao, Yusuke Kida, Xiang Yan, Pei Ding, Lei He, Toshiba, China

SP-P9.2: MAXIMUM ENTROPY BASED TONE MODELING FOR MANDARIN SPEECH ........................................ 4850RECOGNITIONXinhao Wang, Yansuo Yu, Xihong Wu, Huisheng Chi, Peking University, China

SP-P9.3: DIMENSIONALITY REDUCTION METHODS FOR HMM PHONETIC ........................................................ 4854RECOGNITIONHongbing Hu, Stephen Zahorian, Binghamton University, United States

SP-P9.4: IMPROVING SPEECH RECOGNITION BY EXPLICIT MODELING OF PHONE ....................................... 4858DELETIONSTom Ko, Brian Mak, The Hong Kong University of Science and Technology, Hong Kong SAR of China

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SP-P9.5: USING BURST ONSET INFORMATION TO IMPROVE STOP/AFFRICATE PHONE ................................ 4862RECOGNITIONChi-Yueh Lin, Hsiao-Chuan Wang, National Tsing Hua University, Taiwan

SP-P9.6: MULTI-STYLE MLP FEATURES FOR BN TRANSCRIPTION ......................................................................... 4866Viet Bac Le, Lori Lamel, Jean-Luc Gauvain, LIMSI-CNRS, France

SP-P9.7: SPEAKER ADAPTATION BASED ON THE MULTILINEAR DECOMPOSITION OF ................................. 4870TRAINING SPEAKER MODELSYongwon Jeong, Pusan National University, Republic of Korea

SP-P9.8: INVESTIGATIONS ON ENSEMBLE BASED UNSUPERVISED ADAPTATION ........................................... 4874METHODSYu Kubota, Takahiro Shinozaki, Sadaoki Furui, Tokyo Institute of Technology, Japan

SP-P9.9: EFFICIENT ONLINE LEARNING WITH INDIVIDUAL LEARNING-RATES FOR ..................................... 4878PHONEME SEQUENCE RECOGNITIONKoby Crammer, Technion - Israel Institute of Technology, Israel

SP-P9.10: EXPERIMENTAL STUDIES ON CONTINUOUS SPEECH RECOGNITION USING .................................. 4882NEURAL ARCHITECTURES WITH “ADAPTIVE” HIDDEN ACTIVATION FUNCTIONSSabato Marco Siniscalchi, Torbjørn Svendsen, Norwegian University of Science and Technology, Norway; Filippo Sorbello, Unipa, Italy; Chin-Hui Lee, Georgia Institute of Technology, United States

SP-P9.11: ANALYSIS OF PHONE POSTERIOR FEATURE SPACE EXPLOITING ..................................................... 4886CLASS-SPECIFIC SPARSITY AND MLP-BASED SIMILARITY MEASUREAfsaneh Asaei, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Benjamin Picart, TCTS Lab, Faculté Polytechnique, Université de Mons, Belgium; Herve Bourlard, Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SP-P9.12: GMM-HMM ACOUSTIC MODEL TRAINING BY A TWO LEVEL PROCEDURE .................................... 4890WITH GAUSSIAN COMPONENTS DETERMINED BY AUTOMATIC MODEL SELECTIONDan Su, Xihong Wu, Peking University, China; Lei Xu, Chinese University of Hong Kong, China

SP-P10: DISCRIMINATIVE TRAINING/SEARCH

SP-P10.1: DISCRIMINATIVE TRAINING BASED ON AN INTEGRATED VIEW OF MPE AND .............................. 4894MMI IN MARGIN AND ERROR SPACEErik McDermott, Shinji Watanabe, Atsushi Nakamura, NTT Corporation, Japan

SP-P10.2: THE EFFECT OF LATTICE PRUNING ON MMIE TRAINING ...................................................................... 4898Long Qin, Alexander Rudnicky, Carnegie Mellon University, United States

SP-P10.3: PARALLEL IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK TRAINING............................ 4902Stefano Scanzio, Sandro Cumani, Roberto Gemello, Franco Mana, Pietro Laface, Politecnico di Torino, Italy

SP-P10.4: I-SMOOTH FOR IMPROVED MINIMUM CLASSIFICATION ERROR TRAINING ................................... 4906Haozheng Li, Cosmin Munteanu, National Research Council of Canada, Canada

SP-P10.5: LEARNING TASK-DEPENDENT SPEECH VARIABILITY IN DISCRIMINATIVE ................................... 4910ACOUSTIC MODEL ADAPTATIONShoei Sato, Takahiro Oku, Shinichi Homma, Akio Kobayashi, Toru Imai, NHK (Japan Broadcasting Corporation), Japan

SP-P10.6: A BOUNDED TRUST REGION OPTIMIZATION FOR DISCRIMINATIVE ................................................ 4914TRAINING OF HMMS IN SPEECH RECOGNITIONCong Liu, Yu Hu, University of Science and Technology of China, China; Hui Jiang, York University, Canada; Li-Rong Dai, University of Science and Technology of China, China

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SP-P10.7: PHONE MODELING AND COMBINING DISCRIMINATIVE TRAINING FOR ......................................... 4918MANDARIN-ENGLISH BILINGUAL SPEECH RECOGNITIONYanmin Qian, Jia Liu, Tsinghua University, China

SP-P10.8: A DISCRIMINATIVE MODEL FOR CONTINUOUS SPEECH RECOGNITION ......................................... 4922BASED ON WEIGHTED FINITE STATE TRANSDUCERSShinji Watanabe, Takaaki Hori, Erik McDermott, Atsushi Nakamura, NTT Communication Science Laboratories, NTT Corporation, Japan

SP-P10.9: AN INITIAL ATTEMPT FOR PHONEME RECOGNITION USING STRUCTURED .................................. 4926SUPPORT VECTOR MACHINE (SVM)Hao Tang, Chao-Hong Meng, Lin-Shan Lee, National Taiwan University, Taiwan

SP-P10.10: AN EFFICIENT BEAM PRUNING WITH A REWARD CONSIDERING THE ........................................... 4930POTENTIAL TO REACH VARIOUS WORDS ON A LEXICAL TREETsuneo Kato, Kengo Fujita, Nobuyuki Nishizawa, KDDI R&D Laboratories Inc., Japan

SP-P10.11: SEARCH ERROR RISK MINIMIZATION IN VITERBI BEAM SEARCH FOR ......................................... 4934SPEECH RECOGNITIONTakaaki Hori, Shinji Watanabe, Atsushi Nakamura, NTT Corporation, Japan

SP-P10.12: AN IMPROVED CONSENSUS-LIKE METHOD FOR MINIMUM BAYES RISK ...................................... 4938DECODING AND LATTICE COMBINATIONHaihua Xu, Shanghai Jiao Tong University, China; Daniel Povey, Microsoft, United States; Lidia Mangu, IBM, United States; Jie Zhu, Shanghai Jiao Tong University, China

SP-P11: SPEAKER DIARIZATION & CLUSTERING

SP-P11.1: USING AUDIO AND VISUAL CUES FOR SPEAKER DIARISATION INITIALISATION .......................... 4942Giulia Garau, Hervè Bourlard, Idiap Research Institute, Switzerland

SP-P11.2: AN ADAPTIVE INITIALIZATION METHOD FOR SPEAKER DIARIZATION BASED ............................ 4946ON PROSODIC FEATURESDavid Imseng, Idiap Research Institute, Switzerland; Gerald Friedland, International Computer Science Institute, United States

SP-P11.3: MULTISTREAM SPEAKER DIARIZATION BEYOND TWO ACOUSTIC FEATURE ............................... 4950STREAMSDeepu Vijayasenan, Fabio Valente, Hervé Bourlard, Idiap Research Institute, Switzerland

SP-P11.4: VARIATIONAL BAYESIAN SPEAKER DIARIZATION OF MEETING RECORDINGS ............................ 4954Fabio Valente, Petr Motlicek, Deepu Vijayasenan, Idiap Research Institute, Switzerland

SP-P11.5: THE LIA-EURECOM RT‘09 SPEAKER DIARIZATION SYSTEM: ENHANCEMENTS ............................ 4958IN SPEAKER MODELLING AND CLUSTER PURIFICATIONSimon Bozonnet, Nicholas W. D. Evans, EURECOM, France; Corinne Fredouille, University of Avignon, France

SP-P11.6: LOW-LATENCY ONLINE SPEAKER TRACKING ON THE AMI CORPUS OF ......................................... 4962MEETING CONVERSATIONSMaider Zamalloa, Luis Javier Rodriguez-Fuentes, German Bordel, Mikel Penagarikano, University of the Basque Country, Spain; Juan Pedro Uribe, Ikerlan - Technological Research Centre, Spain

SP-P11.7: MODEL-FREE ANCHOR SPEAKER TURN DETECTION FOR AUTOMATIC .......................................... 4966CHAPTER GENERATION IN BROADCAST NEWSDelphine Charlet, France Telecom Orange Labs, France

SP-P11.8: NOVEL STRATEGIES FOR REDUCING THE FALSE ALARM RATE IN A SPEAKER ........................... 4970SEGMENTATION SYSTEMPaula Lopez-Otero, Laura Docio-Fernandez, Carmen Garcia-Mateo, University of Vigo, Spain

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SP-P11.9: A TRACK BEFORE DETECT APPROACH FOR SEQUENTIAL BAYESIAN TRACKING ....................... 4974OF MULTIPLE SPEECH SOURCESPasi Pertilä, Tampere University of Technology, Finland; Matti Hämäläinen, Nokia Research Center, Finland

SP-P11.10: A NEW PENALTY TERM FOR THE BIC WITH RESPECT TO SPEAKER ............................................... 4978DIARIZATIONThemos Stafylakis, Institute for Language and Speech Processing, Greece; Georgios Tzimiropoulos, Imperial College London, United Kingdom; Vassilis Katsouros, George Carayannis, Institute for Language and Speech Processing, Greece

SP-P11.11: SPEAKER DIARIZATION SYSTEM FOR RT07 AND RT09 MEETING ROOM AUDIO .......................... 4982Hanwu Sun, Bin Ma, Swe Zin Kalayar Khine, Haizhou Li, Institute for Infocomm Research, Singapore

SP-P11.12: SPEAKER CLUSTERING USING VECTOR QUANTIZATION AND SPECTRAL .................................... 4986CLUSTERINGKen-ichi Iso, Yahoo Japan Corporation, Japan

SP-P12: LANGUAGE AND DIALECT IDENTIFICATION

SP-P12.1: SOFT MARGIN ESTIMATION OF GAUSSIAN MIXTURE MODEL PARAMETERS ................................ 4990FOR SPOKEN LANGUAGE RECOGNITIONDonglai Zhu, Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore

SP-P12.2: THE MITLL NIST LRE 2009 LANGUAGE RECOGNITION SYSTEM........................................................... 4994Pedro Torres-Carrasquillo, Elliot Singer, Terry Gleason, Alan McCree, Douglas Reynolds, Fred Richardson, Douglas Sturim, MIT Lincoln Laboratory, United States

SP-P12.4: LOQUENDO-POLITECNICO DI TORINO SYSTEM FOR THE 2009 NIST ................................................. 5002LANGUAGE RECOGNITION EVALUATIONFabio Castaldo, Politecnico di Torino, Italy; Daniele Colibro, Loquendo, Italy; Sandro Cumani, Politecnico di Torino, Italy; Emanuele Dalmasso, Loquendo, Italy; Pietro Laface, Politecnico di Torino, Italy; Claudio Vair, Loquendo, Italy

SP-P12.5: AUTOMATIC LANGUAGE ANALYSIS AND IDENTIFICATION BASED ON SPEECH ........................... 5006PRODUCTION KNOWLEDGEAbhijeet Sangwan, Mahnoosh Mehrabani, John Hansen, Center For Robust Speech Systems, United States

SP-P12.6: TUNING PHONE DECODERS FOR LANGUAGE IDENTIFICATION........................................................... 5010C. P. Santhosh Kumar, Amrita Vishwa Vidyapeetham, India; Haizhou Li, Rong Tong, Institute for Infocomm Research, Singapore; Pavel Matejka, Lukas Burget, Jan Cernocky, Brno University of Technology, Singapore

SP-P12.7: A LINGUISTICALLY-INFORMATIVE APPROACH TO DIALECT RECOGNITION ............................... 5014USING DIALECT-DISCRIMINATING CONTEXT-DEPENDENT PHONETIC MODELS Nancy Chen, Wade Shen, Joseph Campbell, Massachusetts Institute of Technology, United States

SP-P12.8: ADAPTIVE SCORE FUSION USING WEIGHTED LOGISTIC LINEAR ...................................................... 5018REGRESSION FOR SPOKEN LANGUAGE RECOGNITIONKhe Chai Sim, Kong Aik Lee, Institute for Infocomm Research, Singapore

SP-P12.9: PROSODIC ATTRIBUTE MODEL FOR SPOKEN LANGUAGE IDENTIFICATION .................................. 5022Raymond W. M. Ng, Chinese University of Hong Kong, Hong Kong SAR of China; Cheung-Chi Leung, Institute for Infocomm Research, Singapore; Tan Lee, Chinese University of Hong Kong, Hong Kong SAR of China; Bin Ma, Institute for Infocomm Research, Singapore; Haizhou Li, Institute for Infocomm Research, Singapore & University of Eastern Finland, Finland

SP-P12.10: SPEAKER INDEPENDENT VISUAL-ONLY LANGUAGE IDENTIFICATION .......................................... 5026Jacob Newman, Stephen Cox, University of East Anglia, United Kingdom

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SP-P12.11: LANGUAGE RECOGNITION USING DEEP-STRUCTURED CONDITIONAL ......................................... 5030RANDOM FIELDSDong Yu, Microsoft Research, United States; Shizhen Wang, University of California, Los Angeles, United States; Zahi Karam, Massachusetts Institute of Technology, United States; Li Deng, Microsoft Research, United States

SP-P12.12: USING CROSS-DECODER PHONE COOCURRENCES IN PHONOTACTIC ............................................ 5034LANGUAGE RECOGNITIONMikel Penagarikano, Amparo Varona, Luis Javier Rodriguez-Fuentes, German Bordel, University of the Basque Country, Spain

SP-P13: SPEECH ANALYSIS II

SP-P13.1: COMPARISON OF MODULATION FEATURES FOR PHONEME RECOGNITION .................................. 5038Sriram Ganapathy, Samuel Thomas, Hynek Hermansky, Johns Hopkins University, United States

SP-P13.2: AUTOREGRESSIVE MODELING OF VOICED SPEECH ................................................................................ 5042Maria Berezina, Massachusetts Institute of Technology, United States; Daniel Rudoy, Patrick Wolfe, Harvard University, United States

SP-P13.3: ACOUSTIC ANALYSIS FOR SPEAKER IDENTIFICATION OF WHISPERED .......................................... 5046SPEECHXing Fan, John Hansen, University of Texas at Dallas, United States

SP-P13.4: SEPARATION OF MIXED PHASE SIGNALS BY ZEROS OF THE Z-TRANSFORM - .............................. 5050A REFORMULATION OF COMPLEX CEPSTRUM BASED SEPARATION BY CAUSALITY Christian Fischer Pedersen, Ove Andersen, Paul Dalsgaard, Aalborg University, Denmark

SP-P13.5: DISCRIMINATION OF SPEECH AND NON-LINGUISTIC VOCALIZATIONS BY ................................... 5054NON-NEGATIVE MATRIX FACTORIZATIONBjoern Schuller, Felix Weninger, Technische Universitaet Muenchen, Germany

SP-P13.6: JOINT ESTIMATE OF SHAPE AND TIME-SYNCHRONIZATION OF A GLOTTAL ............................... 5058SOURCE MODEL BY PHASE FLATNESSGilles Degottex, IRCAM-CNRS, France; Axel Roebel, Xavier Rodet, IRCAM, France

SP-P13.7: A NOVEL APPROACH TO DECOMPOSE A MODULATED BROADBAND CARRIER ............................. 5062Anh Che, Jean Monnet University, Saint Etienne, France; Griff Bilbro, Hamid Krim, North Carolina State University, United States; Mohamed Badaoui, François Guillet, Jean Monnet University, Saint Etienne, France

SP-P13.8: NON-NEGATIVE TEMPORAL DECOMPOSITION OF SPEECH PARAMETERS ...................................... 5066Sadao Hiroya, NTT Corporation, Japan

SP-P13.9: A MIXTURE MAXIMIZATION APPROACH TO MULTIPITCH TRACKING WITH ............................... 5070FACTORIAL HIDDEN MARKOV MODELSMichael Wohlmayr, Michael Stark, Franz Pernkopf, Graz University of Technology, Austria

SP-P13.10: ANALYSIS OF INSTANTANEOUS F0 CONTOURS FROM TWO SPEAKERS ......................................... 5074MIXED SIGNAL USING ZERO FREQUENCY FILTERING.Yegnanarayana B, International Institute of Information Technology Hyderabad, India; Mahadeva Prasanna S R, Indian Institute of Technology, Guwahati, India

SP-P13.11: PITCH EXTRACTION USING MODIFIED HIGHER ORDER MOMENTS ................................................ 5078Alipah Pawi, Saeed Vaseghi, Brunel University, United Kingdom; Ben Milner, East Anglia University, United Kingdom

SP-P13.12: A STATISTICAL MODEL-BASED DOUBLE-TALK DETECTION INCORPORATING .......................... 5082SOFT DECISIONYun-Sik Park, Ji-Hyun Song, Sang-Ick Kang, Woojung Lee, Joon-Hyuk Chang, Inha University, Republic of Korea

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SP-P14: GENERAL TOPICS IN ASR

SP-P14.1: PASHTO SPEECH RECOGNITION WITH LIMITED PRONUNCIATION LEXICON................................ 5086Rohit Prasad, Stavros Tsakalidis, Ivan Bulyko, Chia-lin Kao, Prem Natarajan, BBN Technologies, United States

SP-P14.2: LIMITED RESOURCE SPEECH RECOGNITION FOR NIGERIAN ENGLISH ........................................... 5090Sulyman Amuda, University of Ilorin, Nigeria; Hynek Boril, Abhijeet Sangwan, John Hansen, Center For Robust Speech Systems, United States

SP-P14.3: APPROACHES TO AUTOMATIC LEXICON LEARNING WITH LIMITED TRAINING ......................... 5094EXAMPLESNagendra Goel, Go-Vivace Inc., United States; Samuel Thomas, Johns Hopkins University, United States; Mohit Agarwal, Indian Institute of Information Technology, Allahabad, India; Pinar Akyazi, Bogaziçi University, Turkey; Lukas Burget, Brno University of Technology, Czech Republic; Kai Feng, Hong Kong University of Science and Technology, Hong Kong SAR of China; Arnab Ghoshal, Saarland University, Germany; Ondrej Glembek, Martin Karafiat, Brno University of Technology, Czech Republic; Daniel Povey, Microsoft Research, United States; Ariya Rastrow, Johns Hopkins University, United States; Richard Rose, McGill University, Canada; Petr Schwarz, Brno University of Technology, Czech Republic

SP-P14.4: APPLICATION OF OUT-OF-LANGUAGE DETECTION TO SPOKEN TERM ........................................... 5098DETECTIONPetr Motlicek, Fabio Valente, Idiap Research Institute, Switzerland

SP-P14.5: ULTRASONIC SENSING FOR ROBUST SPEECH RECOGNITION .............................................................. 5102Sundararajan Srinivasan, Mississippi State University, United States; Bhiksha Raj, Carnegie Mellon University, United States; Tony Ezzat, Mitsubishi Electric Research Laboratories, United States

SP-P14.6: A DIGITAL MICROPHONE ARRAY FOR DISTANT SPEECH RECOGNITION ........................................ 5106Erich Zwyssig, Mike Lincoln, Steve Renals, University of Edinburgh, United Kingdom

SP-P14.7: JOINTLY RECOGNIZING MULTI-SPEAKER CONVERSATIONS ............................................................... 5110Gang Ji, Jeff Bilmes, Universiity of Washington, Seattle, United States

SP-P14.8: TRANSCRIPTION-BASED VIDEO GENRE CLASSIFICATION ..................................................................... 5114Stanislas Oger, Mickael Rouvier, Georges Linarès, University of Avignon, France

SP-P14.9: USE OF GEOGRAPHICAL META-DATA IN ASR LANGUAGE AND ACOUSTIC .................................... 5118MODELSEnrico Bocchieri, Diamantino Caseiro, AT&T Labs - Research, United States

SP-P14.10: FAST LIKELIHOOD COMPUTATION USING HIERARCHICAL GAUSSIAN ......................................... 5122SHORTLISTSXin Lei, Arindam Mandal, Jing Zheng, SRI International, United States

SP-P14.11: A COMPARATIVE STUDY ON METHODS OF WEIGHTED LANGUAGE MODEL ............................... 5126TRAINING FOR RERANKING LVCSR N-BEST HYPOTHESESTakanobu Oba, Takaaki Hori, Atsushi Nakamura, NTT Communication Science Laboratories, NTT Corporation, Japan

SP-P14.12: DATA SAMPLING ENSEMBLE ACOUSTIC MODELLING IN SPEAKER ................................................ 5130INDEPENDENT SPEECH RECOGNITIONXin Chen, Yunxin Zhao, University of Missouri, United States

SP-P15: SPEECH ANALYSIS III

SP-P15.1: A NEW VOICE SOURCE MODEL BASED ON HIGH-SOURCE IMAGING AND ITS ............................... 5134APPLICATION TO VOICE SOURCE ESTIMATIONYen-Liang Shue, Abeer Alwan, University of California, Los Angeles, United States

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SP-P15.2: FEATURES SELECTION FOR PRIMITIVES ESTIMATION ON EMOTIONAL ........................................ 5138SPEECHHumberto Pérez Espinosa, Carlos Alberto Reyes García, Luis Villaseñor Pineda, Instituto Nacional de Astrofísica Óptica y Electrónica, Mexico

SP-P15.3: AN EXPLORATORY STUDY OF MANIFOLDS OF EMOTIONAL SPEECH ............................................... 5142Jangwon Kim, Sungbok Lee, Shrikanth Narayanan, University of Southern California, United States

SP-P15.4: SPEECH UNDER PHYSICAL STRESS: A PRODUCTION-BASED FRAMEWORK .................................... 5146Sanjay Patil, Abhijeet Sangwan, John Hansen, Center For Robust Speech Systems, United States

SP-P15.5: LEARNING WITH SYNTHESIZED SPEECH FOR AUTOMATIC EMOTION ............................................ 5150RECOGNITIONBjoern Schuller, Technische Universitaet Muenchen, Germany; Felix Burkhardt, Deutsche Telekom Laboratories, Germany

SP-P15.6: INFLUENCE OF ACOUSTIC LOW-LEVEL DESCRIPTORS IN THE DETECTION .................................. 5154OF CLINICAL DEPRESSION IN ADOLESCENTSLu-Shih Alex Low, Namunu Maddage, Margaret Lech, RMIT University, Australia; Lisa Sheeber, Oregon Research Institute, United States; Nicholas Allen, ORYGEN Research Centre, Australia

SP-P15.7: DIALECT DISTANCE ASSESSMENT METHOD BASED ON COMPARISON OF ...................................... 5158PITCH PATTERN STATISTICAL MODELSMahnoosh Mehrabani, Hynek Boril, John H. L. Hansen, University of Texas at Dallas, United States

SP-P15.8: DYSPHONIA DETECTION BASED ON MODULATION SPECTRAL FEATURES AND ........................... 5162CEPSTRAL COEFFICIENTSMaria Markaki, Yannis Stylianou, University of Crete, Greece; Julian David Arias-Londono, Juan Ignacio Godino-Llorente, Universidad Politecnica de Madrid, Spain

SP-P15.9: ANGRY EMOTION DETECTION FROM REAL-LIFE CONVERSATIONAL SPEECH ............................ 5166BY LEVERAGING CONTENT STRUCTUREWooil Kim, John Hansen, University of Texas at Dallas, United States

SP-P15.10: ADVANCEMENTS IN WHISPER-ISLAND DETECTION USING THE LINEAR ...................................... 5170PREDICTIVE RESIDUALChi Zhang, John Hansen, University of Texas at Dallas, United States

SP-P15.11: COMBINING REGRESSION AND CLASSIFICATION METHODS FOR ................................................... 5174IMPROVING AUTOMATIC SPEAKER AGE RECOGNITIONCharl Van Heerden, Etienne Barnard, Marelie Davel, Christiaan Van der Walt, Ewald Van Dyk, Meraka Institute, South Africa; Michael Feld, Christian Mueller, German Research Center for Artificial Intelligence, Germany

SLP-L1: LANGUAGE MODELING I

SLP-L1.1: POWER LAW DISCOUNTING FOR N-GRAM LANGUAGE MODELS ........................................................ 5178Songfang Huang, Steve Renals, University of Edinburgh, United Kingdom

SLP-L1.2: DISCRIMINATIVE TRAINING METHODS FOR LANGUAGE MODELS USING ..................................... 5182CONDITIONAL ENTROPY CRITERIAJui-Ting Huang, University of Illinois at Urbana-Champaign, United States; Xiao Li, Alex Acero, Microsoft Research, United States

SLP-L1.3: CONTINUOUS SPACE LANGUAGE MODELING TECHNIQUES ................................................................ 5186Ruhi Sarikaya, Ahmad Emami, IBM T. J. Watson Research Center, United States; Mohamed Afify, Orange Labs, Egypt; Bhuvana Ramabhadran, IBM T. J. Watson Research Center, United States

SLP-L1.4: MORPHOLOGICAL AND SYNTACTIC FEATURES FOR ARABIC SPEECH ........................................... 5190RECOGNITIONHong-Kwang Kuo, Lidia Mangu, Ahmad Emami, Imed Zitouni, IBM, United States

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SLP-L1.5: TOPIC CACHE LANGUAGE MODEL FOR SPEECH RECOGNITION ........................................................ 5194Chuang-Hua Chueh, Jen-Tzung Chien, National Cheng Kung University, Taiwan

SLP-L1.6: LANGUAGE MODEL ADAPTATION USING RANDOM FORESTS ............................................................. 5198Anoop Deoras, Frederick Jelinek, Johns Hopkins University, United States; Yi Su, Nuance Communications, Inc., Canada

SLP-L2: SPEECH TRANSLATION

SLP-L2.1: HYPOTHESIS RANKING AND TWO-PASS APPROACHES FOR MACHINE ........................................... 5202TRANSLATION SYSTEM COMBINATIONDamianos Karakos, Jason Smith, Sanjeev Khudanpur, Johns Hopkins University, United States

SLP-L2.2: IMPROVED STATISTICAL MODELS FOR SMT-BASED SPEAKING STYLE .......................................... 5206TRANSFORMATIONGraham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya Kawahara, Kyoto University, Japan

SLP-L2.3: SPOKEN LANGUAGE TRANSLATION FROM PARALLEL SPEECH AUDIO: ........................................ 5210SIMULTANEOUS INTERPRETATION AS SLT TRAINING DATAMatthias Paulik, Alex Waibel, Carnegie Mellon University, United States

SLP-L2.4: AUTOMATIC DISFLUENCY REMOVAL FOR IMPROVING SPOKEN LANGUAGE ............................. 5214TRANSLATIONWen Wang, Gokhan Tur, Jing Zheng, Necip Fazil Ayan, SRI International, United States

SLP-L2.5: EVALUATING DIFFERENT CONFIRMATION STRATEGIES FOR ........................................................... 5218SPEECH-TO-SPEECH TRANSLATION SYSTEMSDavid Stallard, Rohit Prasad, Shankar Ananthakrishnan, Fred Choi, Shirin Saleem, Prem Natarajan, BBN Technologies, United States

SLP-L2.6: RAPID INTEGRATION OF PARTS OF SPEECH INFORMATION TO IMPROVE ................................... 5222REORDERING MODEL FOR ENGLISH-FARSI SPEECH TO SPEECH TRANSLATIONSameer Maskey, Bowen Zhou, IBM T. J. Watson Research Center, United States

SLP-P1: GENERAL TOPICS IN SPOKEN LANGUAGE UNDERSTANDING

SLP-P1.1: FINDING EMOTIONALLY INVOLVED SPEECH USING IMPLICITLY .................................................... 5226PROXIMITY-ANNOTATED LAUGHTERKornel Laskowski, Carnegie Mellon University, United States

SLP-P1.2: LATE FUSION OF INDIVIDUAL ENGINES FOR IMPROVED RECOGNITION OF ................................ 5230NEGATIVE EMOTION IN SPEECH – LEARNING VS. DEMOCRATIC VOTEBjoern Schuller, Technische Universitaet Muenchen, Germany; Florian Metze, Carnegie Mellon University, United States; Stefan Steidl, Anton Batliner, FAU Erlangen Nuernberg, Germany; Florian Eyben, Technische Universitaet Muenchen, Germany; Tim Polzehl, Technische Universitaet Berlin, Germany

SLP-P1.3: GLOTTAL FEATURES FOR SPEECH-BASED COGNITIVE LOAD ............................................................ 5234CLASSIFICATIONTet Fei Yap, Julien Epps, University of New South Wales, Australia; Eric H. C. Choi, National ICT Australia (NICTA), Australia; Eliathamby Ambikairajah, University of New South Wales, Australia

SLP-P1.4: STATISTICAL PHONE DURATION MODELING TO FILTER FOR INTACT ........................................... 5238UTTERANCES IN A COMPUTER-ASSISTED PRONUNCIATION TRAINING SYSTEMWai-Kit Lo, Alissa Harrison, Helen Meng, Chinese University of Hong Kong, Hong Kong SAR of China

SLP-P1.5: TOWARD ROBUST LEARNING OF THE GAUSSIAN MIXTURE STATE EMISSION ............................. 5242DENSITIES FOR HIDDEN MARKOV MODELSHao Tang, Mark Hasegawa-Johnson, Thomas Huang, University of Illinois at Urbana-Champaign, United States

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SLP-P1.6: MULTIPLE SEQUENCE ALIGNMENT BASED BOOTSTRAPPING FOR .................................................. 5246IMPROVED INCREMENTAL WORD LEARNINGIrene Ayllón Clemente, Research Institute for Cognition and Robotics, Germany; Martin Heckmann, Honda Research Institute Europe GmbH, Germany; Gerhard Sagerer, Research Institute for Cognition and Robotics, Germany; Frank Joublin, Honda Research Institute Europe GmbH, Germany

SLP-P1.7: PREDICTING INTERRUPTIONS IN DYADIC SPOKEN INTERACTIONS ................................................. 5250Chi-Chun Lee, Shrikanth Narayanan, University of Southern California, United States

SLP-P1.8: CLASSIFYING LAUGHTER AND SPEECH USING AUDIO-VISUAL FEATURE ...................................... 5254PREDICTIONStavros Petridis, Ali Asghar, Maja Pantic, Imperial College London, United Kingdom

SLP-P1.9: AUTOMATIC SENTENCE BOUNDARY DETECTION IN CONVERSATIONAL ...................................... 5258SPEECH: A CROSS-LINGUAL EVALUATION ON ENGLISH AND CZECHJachym Kolar, University of West Bohemia, Czech Republic; Yang Liu, University of Texas at Dallas, United States

SLP-P1.10: EVIDENCE FOR THE STRENGTH OF THE RELATIONSHIP BETWEEN .............................................. 5262AUTOMATIC SPEECH RECOGNITION AND PHONEME ALIGNMENT PERFORMANCELadan Baghai-Ravary, Oxford University, United Kingdom

SLP-P1.11: FRAMEWORK FOR CROSS-LANGUAGE AUTOMATIC PHONETIC ..................................................... 5266SEGMENTATIONUdochukwu Kalu Ogbureke, Julie Carson-Berndsen, University College Dublin, Ireland

SLP-P1.12: USING THE AMAZON MECHANICAL TURK FOR TRANSCRIPTION OF ............................................ 5270SPOKEN LANGUAGEMatthew Marge, Satanjeev Banerjee, Alexander Rudnicky, Carnegie Mellon University, United States

SLP-P2: SPEECH RETRIEVAL & DISTILLATION

SLP-P2.1: SPOKEN TERM DETECTION WITH CONNECTIONIST TEMPORAL ...................................................... 5274CLASSIFICATION: A NOVEL HYBRID CTC-DBN DECODERMartin Woellmer, Florian Eyben, Bjoern Schuller, Gerhard Rigoll, Technische Universitaet Muenchen, Germany

SLP-P2.2: AN INITIAL ATTEMPT TO IMPROVE SPOKEN TERM DETECTION BY ................................................ 5278LEARNING OPTIMAL WEIGHTS FOR DIFFERENT INDEXING FEATURESYu-Hui Chen, Chia-Chen Chou, Hung-Yi Lee, Lin-shan Lee, National Taiwan University, Taiwan

SLP-P2.3: SUBWORD-BASED SPOKEN TERM DETECTION IN AUDIO COURSE .................................................... 5282LECTURESRichard Rose, Atta Norouzian, Aarthi Reddy, Andre Coy, McGill University, Canada; Vishwa Gupta, Centre de Recherche Informatique de Montreal, Canada; Martin Karafiat, Brno University of Technology, Czech Republic

SLP-P2.4: BALANCING FALSE ALARMS AND HITS IN SPOKEN TERM DETECTION ........................................... 5286Carolina Parada, Johns Hopkins University, United States; Abhinav Sethy, Bhuvana Ramabhadran, IBM T. J. Watson Research Center, United States

SLP-P2.5: INTEGRATING RECOGNITION AND RETRIEVAL WITH USER FEEDBACK: A .................................. 5290NEW FRAMEWORK FOR SPOKEN TERM DETECTIONHung-Yi Lee, Lin-shan Lee, National Taiwan University, Taiwan

SLP-P2.6: STOCHASTIC PRONUNCIATION MODELLING AND SOFT MATCH FOR ............................................. 5294OUT-OF-VOCABULARY SPOKEN TERM DETECTIONDong Wang, Simon King, Joe Frankel, Peter Bell, CSTR, University of Edinburgh, United Kingdom

SLP-P2.7: OPTIMISING FIGURE OF MERIT FOR PHONETIC SPOKEN TERM ....................................................... 5298DETECTIONRoy Wallace, Robbie Vogt, Brendan Baker, Sridha Sridharan, Queensland University of Technology, Australia

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SLP-P2.8: LEARNING DEEP RHETORICAL STRUCTURE FOR EXTRACTIVE SPEECH ....................................... 5302SUMMARIZATIONJian Zhang, Pascale Fung, Hong Kong University of Science and Technology, Hong Kong SAR of China

SLP-P2.9: SUMMARIZATION- AND LEARNING-BASED APPROACHES TO INFORMATION .............................. 5306DISTILLATIONBoriska Toth, University of California, Berkeley, United States; Dilek Hakkani-Tur, Sibel Yaman, International Computer Science Institute, United States

SLP-P2.10: USING N-BEST RECOGNITION OUTPUT FOR EXTRACTIVE ................................................................. 5310SUMMARIZATION AND KEYWORD EXTRACTION IN MEETING SPEECHYang Liu, Shasha Xie, Fei Liu, University of Texas at Dallas, United States

SLP-P2.11: LEVERAGING EVALUATION METRIC-RELATED TRAINING CRITERIA FOR ................................. 5314SPEECH SUMMARIZATIONShih-Hsiang Lin, Yu-Mei Chang, Jia-Wen Liu, Berlin Chen, National Taiwan Normal University, Taiwan

SLP-P2.12: SPEECH-DRIVEN QUERY RETRIEVAL FOR QUESTION-ANSWERING ................................................ 5318Taniya Mishra, Srinivas Bangalore, AT&T Labs - Research, United States

SLP-P3: SEMANTIC PROCESSING & VOICE SEARCH

SLP-P3.1: UNSUPERVISED BROADCAST CONVERSATION SPEAKER ROLE LABELING .................................... 5322Brian Hutchinson, Bin Zhang, Mari Ostendorf, University of Washington, United States

SLP-P3.2: PARAPHRASE DETECTION ON SMS MESSAGES IN AUTOMOBILES ..................................................... 5326Wei Wu, University of Washington, United States; Yun-Cheng Ju, Xiao Li, Ye-Yi Wang, Microsoft Research, United States

SLP-P3.3: ON THE USE OF MACHINE TRANSLATION FOR SPOKEN LANGUAGE ............................................... 5330UNDERSTANDING PORTABILITYChristophe Servan, Nathalie Camelin, University of Avignon, France; Christian Raymond, University of Rennes, France; Frédéric Béchet, Aix-Marseille Universite, France; Renato De Mori, University of Avignon, France

SLP-P3.4: ARE YOU A WEREWOLF? DETECTING DECEPTIVE ROLES AND OUTCOMES ................................. 5334IN A CONVERSATIONAL ROLE-PLAYING GAMEGokul Chittaranjan, Hayley Hung, Idiap Research Institute, Switzerland

SLP-P3.5: UNSUPERVISED KNOWLEDGE ACQUISITION FOR EXTRACTING NAMED ....................................... 5338ENTITIES FROM SPEECHFrederic Bechet, Aix-Marseille Universite, France; Eric Charton, Universite d’Avignon, France

SLP-P3.6: EVALUATION OF SEMANTIC ROLE LABELING AND DEPENDENCY PARSING ................................ 5342OF AUTOMATIC SPEECH RECOGNITION OUTPUTBenoit Favre, Bernd Bohnet, Dilek Hakkani-Tür, International Computer Science Institute, United States

SLP-P3.7: A NEW TOPIC-BRIDGED MODEL FOR TRANSFER LEARNING ............................................................... 5346Meng-Sung Wu, Jen-Tzung Chien, National Cheng Kung University, Taiwan

SLP-P3.8: MULTI-CLASS SVM OPTIMIZATION USING MCE TRAINING WITH ..................................................... 5350APPLICATION TO TOPIC IDENTIFICATIONTimothy J. Hazen, MIT Lincoln Laboratory, United States

SLP-P3.9: MULTIPASS STRATEGIES FOR IMPROVING ACCURACY IN A VOICE SEARCH .............................. 5354APPLICATIONTianhe Zhang, Richard Rose, McGill University, Canada; Jean Dehan, Nuance Communications, Inc., Canada

SLP-P3.10: FAST SIMILARITY SEARCH ON A LARGE SPEECH DATA SET WITH ................................................ 5358NEIGHBORHOOD GRAPH INDEXINGKazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, NTT Communication Science Laboratories, NTT Corporation, Japan; Kazumi Saito, University of Shizuoka, Japan

SLP-P3.11: A GENERAL FRAMEWORK FOR BUILDING NATURAL LANGUAGE .................................................. 5362UNDERSTANDING MODULES IN VOICE SEARCHJunlan Feng, AT&T Labs - Research, United States

SLP-P4: DIALOG SYSTEMS & LANGUAGE MODELING II

SLP-P4.1: THE LUNA SPOKEN DIALOGUE SYSTEM: BEYOND UTTERANCE ........................................................ 5366CLASSIFICATIONMarco Dinarelli, Evgeny Stepanov, Sebastian Varges, Giuseppe Riccardi, University of Trento, Italy

SLP-P4.2: OPTIMIZE THE OBVIOUS: AUTOMATIC CALL FLOW GENERATION .................................................. 5370David Suendermann, Jackson Liscombe, Roberto Pieraccini, SpeechCycle, United States

SLP-P4.3: COMPARING THE CONTRIBUTIONS OF CONTEXT AND PROSODY IN ............................................... 5374TEXT-INDEPENDENT DIALOG ACT RECOGNITIONKornel Laskowski, Carnegie Mellon University, United States; Elizabeth Shriberg, SRI International, United States

SLP-P4.4: IMPROVED LANGUAGE MODELING FOR CONVERSATIONAL APPLICATIONS .............................. 5378USING SENTENCE QUALITYMark Epstein, Bhuvana Ramabhadran, Rajesh Balchandran, IBM, United States

SLP-P4.5: INCREMENTAL PARTITION RECOMBINATION FOR EFFICIENT TRACKING OF ............................ 5382MULTIPLE DIALOG STATESJason Williams, AT&T Labs - Research, United States

SLP-P4.6: SEMI-SUPERVISED LEARNING OF LANGUAGE MODEL USING ............................................................ 5386UNSUPERVISED TOPIC MODELShuanhu Bai, Chien-Lin Huang, Bin Ma, Haizhou Li, Institute for Infocomm Research, Singapore

SLP-P4.7: LANGUAGE MODEL COMBINATION AND ADAPTATION USING WEIGHTED ................................... 5390FINITE STATE TRANSDUCERSXunying Liu, Mark Gales, Cambridge University, United Kingdom; Jim Hieronymous, NASA Ames Research Center, United States; Phil Woodland, Cambridge University, United Kingdom

SLP-P4.8: LATENT TOPIC MODELING OF WORD VICINITY INFORMATION FOR .............................................. 5394SPEECH RECOGNITIONKuan-Yu Chen, National Taiwan Normal University, Taiwan; Hsuan-Sheng Chiu, Delta Electronics, Inc., Taiwan; Berlin Chen, National Taiwan Normal University, Taiwan

SLP-P4.9: LARGE MARGIN ESTIMATION OF N-GRAM LANGUAGE MODELS FOR SPEECH ........................... 5398RECOGNITION VIA LINEAR PROGRAMMINGVladimir Magdin, Hui Jiang, York University, Canada

SLP-P4.10: MORPHOLOGY-BASED AND SUB-WORD LANGUAGE MODELING FOR ........................................... 5402TURKISH SPEECH RECOGNITIONHasim Sak, Murat Saraçlar, Tunga Güngör, Bogaziçi University, Turkey

SLP-P4.11: LANGUAGE MODEL ADAPTATION USING WWW DOCUMENTS OBTAINED BY ............................ 5406UTTERANCE-BASED QUERIESAndreas Tsiartas, Panayiotis Georgiou, Shrikanth Narayanan, University of Southern California, United States

SLP-P4.12: VOCABULARY AND LANGUAGE MODEL ADAPTATION USING JUST ONE ...................................... 5410SPEECH FILESha Meng, Tsinghua University, China; Kishan Thambiratnam, Yimeng Lin, Microsoft Research, China; Linfang Wang, Tsinghua University, China; Gang Li, Frank Seide, Microsoft Research, China

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SS-L1: SIGNAL PROCESSING FOR GRAPHS AND OTHER NON-EUCLIDEAN DATA

SS-L1.1: TOWARD SIGNAL PROCESSING THEORY FOR GRAPHS AND NON-EUCLIDEAN ............................... 5414DATABenjamin A. Miller, Nadya T. Bliss, Massachusetts Institute of Technology, United States; Patrick J. Wolfe, Harvard University, United States

SS-L1.2: OPTIMIZED INTRINSIC DIMENSION ESTIMATOR USING NEAREST ...................................................... 5418NEIGHBOR GRAPHSKumar Sricharan, University of Michigan, United States; Raviv Raich, Oregon State University, United States; Alfred Hero, University of Michigan, United States

SS-L1.3: SPECTRAL CLUSTERING FOR MULTICLASS ERDOS-RENYI GRAPHS ................................................... 5422Mohamed-Ali Belabbas, Harvard University, United States

SS-L1.4: FAST SIGNAL ANALYSIS AND DECOMPOSITION ON GRAPHS USING THE .......................................... 5426SPARSE MATRIX TRANSFORMLeonardo Bachega, Guangzhi Cao, Charles Bouman, Purdue University, United States

SS-L1.5: RANDOM ATTRIBUTED GRAPHS FOR STATISTICAL INFERENCE FROM ............................................ 5430CONTENT AND CONTEXTAllen Gorin, U.S. Department of Defense, United States; Carey Priebe, Johns Hopkins University, United States; John Grothendieck, BBN Technologies, United States

SS-L1.6: DETECTION AND SIMULATION OF SCENARIOS WITH HIDDEN MARKOV .......................................... 5434MODELS AND EVENT DEPENDENCY GRAPHSWilliam Campbell, Samuel Barrett, Joel Acevedo-Aviles, Brian Delaney, Clifford Weinstein, MIT Lincoln Laboratory, United States

SS-L2: MULTIVARIATE AND MULTIMODAL ANALYSIS OF BRAIN SIGNALS

SS-L2.1: FUSION OF CONCURRENT SINGLE TRIAL EEG DATA AND FMRI DATA USING ................................. 5438MULTI-SET CANONICAL CORRELATION ANALYSISNicolle M. Correa, University of Maryland, Baltimore County, United States; Tom Eichele, University of Bergen, Norway; Tulay Adali, Yi-Ou Li, University of Maryland, Baltimore County, United States; Vince D. Calhoun, The Mind Research Network and The University of New Mexico, United States

SS-L2.2: QUANTIFICATION OF INTER-TRIAL NON-STATIONARITY IN SPIKE TRAINS .................................... 5442FROM PERIODICALLY STIMULATED NEURAL CULTURESIl Park, Jose Principe, University of Florida, United States

SS-L2.3: IDENTIFYING FUNCTIONAL CLUSTERS IN THE BRAIN USING PHASE ................................................. 5446SYNCHRONYMarcos Bolanos, Selin Aviyente, Michigan State University, United States; Edward Bernat, Florida State University, United States

SS-L2.4: SEIZURE PREDICTIONWITH SPECTRAL POWER OF .................................................................................. 5450TIME/SPACE-DIFFERENTIAL EEG SIGNALS USING COST-SENSITIVE SUPPORT VECTOR MACHINEYun Park, Theoden Netoff, Keshab Parhi, University of Minnesota, United States

SS-L2.5: A STATE SPACE APPROACH TO MULTIMODAL INTEGRATION OF ....................................................... 5454SIMULTANEOUSLY RECORDED EEG AND FMRIPatrick Purdon, Massachusetts General Hospital, United States; Camilo Lamus, Massachusetts Institute of Technology, United States; Matti Hamalainen, Massachusetts General Hospital, United States; Emery Brown, Massachusetts Institute of Technology, United States

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SS-L3: NOVEL MODULATION DECOMPOSITIONS OF SIGNALS: THEORY AND APPLICATIONS

SS-L3.1: HISTORY OF MODULATION SPECTRUM IN ASR ........................................................................................... 5458Hynek Hermansky, The Johns Hopkins University, United States

SS-L3.2: HARMONIC COHERENT DEMODULATION FOR IMPROVING SOUND CODING .................................. 5462IN COCHLEAR IMPLANTSXing Li, Kaibao Nie, Les Atlas, Jay Rubinstein, University of Washington, United States

SS-L3.3: STATISTICAL INFERENCE FOR SINGLE- AND MULTI-BAND PROBABILISTIC ................................... 5466AMPLITUDE DEMODULATIONRichard Turner, Maneesh Sahani, University College London, United Kingdom

SS-L3.4: THE INFORMATION CONTENT OF DEMODULATED SPEECH ................................................................... 5470Gregory Sell, Stanford University, United States; Malcolm Slaney, Yahoo! Research, United States

SS-L3.5: A MODULATION VIEW OF AUDIO PROCESSING FOR REDUCING AUDIBLE ....................................... 5474ARTIFACTSDavid V. Anderson, Georgia Institute of Technology, United States

SS-L3.6: NONLINEAR FILTERING OF SPECTROTEMPORAL MODULATIONS IN SPEECH ............................... 5478ENHANCEMENTMajid Mirbagheri, Nima Mesgarani, Shihab Shamma, University of Maryland College Park, United States

SS-L4: DICTIONARY LEARNING FOR SPARSE SIGNAL REPRESENTATIONS

SS-L4.1: AN L1 CRITERION FOR DICTIONARY LEARNING BY SUBSPACE ............................................................ 5482IDENTIFICATIONFlorent Jaillet, Rémi Gribonval, INRIA, France; Mark D. Plumbley, Queen Mary University of London, United Kingdom; Hadi Zayyani, Sharif University of Technology, Iran

SS-L4.2: STRUCTURED AND INCOHERENT PARAMETRIC DICTIONARY DESIGN .............................................. 5486Mehrdad Yaghoobi, University of Edinburgh, United Kingdom; Laurent Daudet, Université Paris Diderot - Paris 7, ESPCI, France; Michael Davies, University of Edinburgh, United Kingdom

SS-L4.3: A UNION OF INCOHERENT SPACES MODEL FOR CLASSIFICATION ...................................................... 5490K. Schnass, Pierre Vandergheynst, Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland

SS-L4.4: ADAPTIVE COMPRESSED SENSING -- A NEW CLASS OF SELF-ORGANIZING ..................................... 5494CODING MODELS FOR NEUROSCIENCEWilliam Coulter, University of California, Berkeley, United States; Christopher Hillar, MSRI, United States; Guy Isely, Friedrich Sommer, University of California, Berkeley, United States

SS-L4.5: BREAKING THROUGH THE THRESHOLDS: AN ANALYSIS FOR ITERATIVE ....................................... 5498REWEIGHTED $\E LL_1$ MINIMIZATION VIA THE GRASSMANN ANGLE FRAMEWORKWeiyu Xu, Amin Khajehnejad, Amir Salman Avestimehr, Babak Hassibi, California Institute of Technology, United States

SS-L4.6: ULTRASOUND TOMOGRAPHY WITH LEARNED DICTIONARIES ............................................................. 5502Ivana Tosic, Ivana Jovanovic, Pascal Frossard, Martin Vetterli, Neb Duric, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland

SS-L5: MUSIC SIGNAL PROCESSING EXPLOITING MUSICAL KNOWLEDGE

SS-L5.1: SINGING INFORMATION PROCESSING BASED ON SINGING VOICE ...................................................... 5506MODELINGMasataka Goto, Takeshi Saitou, Tomoyasu Nakano, Hiromasa Fujihara, National Institute of Advanced Industrial Science and Technology (AIST), Japan

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SS-L5.2: SOUND SOURCE SEPARATION IN MONAURAL MUSIC SIGNALS USING ............................................... 5510EXCITATION-FILTER MODEL AND EM ALGORITHMAnssi Klapuri, Queen Mary University of London, United Kingdom; Tuomas Virtanen, Toni Heittola, Tampere University of Technology, Finland

SS-L5.3: MULTIMODAL SIMILARITY BETWEEN MUSICAL STREAMS FOR COVER .......................................... 5514VERSION DETECTIONRémi Foucard, Jean-Louis Durrieu, Mathieu Lagrange, Gael Richard, Telecom ParisTech CNRS-LTCI, France

SS-L5.4: HMM-BASED APPROACH FOR AUTOMATIC CHORD DETECTION USING ........................................... 5518REFINED ACOUSTIC FEATURESYushi Ueda, Yuki Uchiyama, Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama, University of Tokyo, Japan

SS-L5.5: CYCLIC TEMPOGRAM - A MID-LEVEL TEMPO REPRESENTATION FOR MUSIC ............................... 5522SIGNALSPeter Grosche, Meinard Mueller, Saarland University and MPI Informatik, Germany; Frank Kurth, Fraunhofer-FKIE, Germany

SS-L5.6: NOTE ONSET DETECTION USING RHYTHMIC STRUCTURE ...................................................................... 5526Norberto Degara, Antonio Pena, University of Vigo, Spain; Matthew E. P. Davies, Mark D. Plumbley, Queen Mary University of London, United Kingdom

SS-L6: NEW DIRECTIONS IN DIRECT MODELING AND RELATED AREAS

SS-L6.1: FROM FLAT DIRECT MODELS TO SEGMENTAL CRF MODELS ................................................................ 5530Geoffrey Zweig, Patrick Nguyen, Microsoft, United States

SS-L6.2: BACKPROPAGATION TRAINING FOR MULTILAYER CONDITIONAL RANDOM ................................ 5534FIELD BASED PHONE RECOGNITIONRohit Prabhavalkar, Eric Fosler-Lussier, Ohio State University, United States

SS-L6.3: SYNTACTIC AND SUB-LEXICAL FEATURES FOR TURKISH DISCRIMINATIVE .................................. 5538LANGUAGE MODELSEbru Arisoy, Murat Saraclar, Bogaziçi University, Turkey; Brian Roark, Izhak Shafran, OGI/OHSU, United States

SS-L6.4: DISCRIMINATIVELY ESTIMATED JOINT ACOUSTIC, DURATION, AND ................................................ 5542LANGUAGE MODEL FOR SPEECH RECOGNITIONMaider Lehr, Izhak Shafran, Center for Spoken Language Processing, United States

SS-L6.5: DISCRIMINATIVE HMMS, LOG-LINEAR MODELS, AND CRFS:WHAT IS THE ...................................... 5546DIFFERENCE?Georg Heigold, Simon Wiesler, Markus Nussbaum-Thom, Patrick Lehnen, Ralf Schlueter, Hermann Ney, RWTH Aachen University, Germany

SS-L6.6: INFORMATION RETRIEVAL METHODS FOR AUTOMATIC SPEECH ...................................................... 5550RECOGNITIONXiaoqiang Xiao, Pennsylvania State University, United States; Jasha Droppo, Alex Acero, Microsoft Research, United States

SS-L7: COOPERATIVE MEDIA COMMUNICATION

SS-L7.1: ERROR RESILIENT VIDEO MULTICAST USING RANDOMIZED DISTRIBUTED ................................... 5554SPACE TIME CODESOzgu Alay, Pei Liu, Yao Wang, Elza Erkip, Shivendra Panwar, Polytechnic Institute of New York University, United States

SS-L7.2: ENERGY EFFICIENT LOSSY TRANSMISSION OVER SENSOR NETWORKS ........................................... 5558WITH FEEDBACKAman Jain, Princeton University, United States; Deniz Gunduz, Princeton University / CTTC, Spain; Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdu, Princeton University, United States

SS-L7.3: ENABLING USER COOPERATION THROUGH EMBEDDED CODING AND ............................................. 5562AWARENESS OF SOURCE CONTENT DYNAMICSAndres Kwasinski, Rochester Institute of Technology, United States

SS-L7.4: SAILING GOOD RADIO WAVES AND TRANSMITTING IMPORTANT BITS: RELAY ............................ 5566COOPERATION IN WIRELESS VIDEO TRANSMISSIONNicholas Mastronarde, Mihaela van der Schaar, University of California, Los Angeles, United States; Anna Scaglione, University of California, Davis, United States; Francesco Verde, University Federico II, Naples, Italy; Donatella Darsena, Pathernope University Federico II, Naples, Italy

SS-L7.5: NC NODE SELECTION GAME IN COLLABORATIVE STREAMING SYSTEMS ........................................ 5570Nikolaos Thomos, Hyunggon Park, Eymen Kurdoglu, Pascal Frossard, Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland

SS-L7.6: BIT ALLOCATION OF WWAN SCALABLE H.264 VIDEO MULTICAST FOR ............................................ 5574HETEROGENEOUS COOPERATIVE PEER-TO-PEER COLLECTIVEXin Liu, University of California, Davis, United States; Gene Cheung, Hewlett-Packard Laboratories Japan, Japan; Chen-Nee Chuah, University of California, Davis, United States; Yusheng Ji, National Institute of Informatics, Japan

SS-L8: CONTEXTUAL AND SEMANTIC LEARNING FOR IMAGE AND VIDEO PROCESSING

SS-L8.1: VISUAL SALIENCY FOR AUTOMATIC TARGET DETECTION, BOUNDARY .......................................... 5578DETECTION, AND IMAGE QUALITY ASSESSMENTHae Jong Seo, Peyman Milanfar, University of California, Santa Cruz, United States

SS-L8.2: NON-LINEAR KERNEL SPACE INVARIANT REPRESENTATION FOR ..................................................... 5582VIEW-INVARIANT MOTION TRAJECTORY RETRIEVAL AND CLASSIFICATIONXu Chen, Dan Schonfeld, Ashfaq Khokhar, University of Illinois at Chicago, United States

SS-L8.3: DISCRIMINATIVE HESSIAN EIGENMAPS FOR FACE RECOGNITION ..................................................... 5586Si Si, University of Hong Kong, Hong Kong SAR of China; Dacheng Tao, Nanyang Technological University, Singapore; Kwok-Ping Chan, University of Hong Kong, Hong Kong SAR of China

SS-L8.4: MULTIMODALITY GENDER ESTIMATION USING BAYESIAN HIERARCHICAL ................................. 5590MODELXiong Li, Xu Zhao, Huanxi Liu, Shanghai Jiao Tong University, China; Yun Fu, University at Buffalo, China; Yuncai Liu, Shanghai Jiao Tong University, China

SS-L8.5: A NONNEGATIVE SPARSITY INDUCED SIMILARITY MEASURE WITH ................................................. 5594APPLICATION TO CLUSTER ANALYSIS OF SPAM IMAGESYan Gao, Alok Choudhary, Northwestern University, United States; Gang Hua, Nokia Research Center, United States

SS-L8.6: EXPLORING USER IMAGE TAGS FOR GEO-LOCATION INFERENCE ...................................................... 5598Dhiraj Joshi, Andrew Gallagher, Jie Yu, Jiebo Luo, Kodak, United States

SS-L9: TRANSCEIVER ALGORITHMS AND ARCHITECTURES FOR FUTURE COOPERATIVE WIRELESS NETWORKS

SS-L9.1: A SURVEY OF IMPLEMENTATION EFFORTS AND EXPERIMENTAL DESIGN ...................................... 5602FOR COOPERATIVE COMMUNICATIONSGlenn J. Bradford, J. Nicholas Laneman, University of Notre Dame, United States

SS-L9.2: FIELD TRIAL RESULTS FOR LTE-ADVANCED CONCEPTS ......................................................................... 5606Gerhard Fettweis, Jörg Holfeld, Vincent Kotzsch, Patrick Marsch, Eckhard Ohlmer, Zhijun Rong, Peter Rost, Technische Universität Dresden, Germany

SS-L9.3: COOPERATIVE COMMUNICATION TECHNOLOGIES FOR LTE-ADVANCED ........................................ 5610Young-Han Nam, Lingjia Liu, Yan Wang, Jianzhong (Charlie) Zhang, Samsung Telecommunications America, United States; Joonyoung Cho, Jin-Kyu Han, Samsung Electronics, Republic of Korea

SS-L9.4: PHYSICAL LAYER ALGORITHM AND HARDWARE VERIFICATION OF MIMO ................................... 5614RELAYS USING COOPERATIVE PARTIAL DETECTIONKiarash Amiri, Michael Wu, Melissa Duarte, Joseph R. Cavallaro, Rice University, United States

SS-L9.5: IMPLEMENTATION OF COOPERATIVE COMMUNICATIONS USING SOFTWARE .............................. 5618DEFINED RADIOSMichael Knox, Elza Erkip, Polytechnic Institute of New York University, United States

SS-L9.6: A PRACTICAL PERSPECTIVE ON COOPERATIVE RELAYING IN CELLULAR ..................................... 5622SYSTEMSKaushik Josiam, Zhouyue Pi, Farooq Khan, Samsung Telecommunications America, United States

SS-L10: UNDERWATER TIME-VARYING SIGNAL PROCESSING APPLICATIONS

SS-L10.1: TIME-VARYING WIDEBAND UNDERWATER ACOUSTIC CHANNEL ESTIMATION .......................... 5626FOR OFDM COMMUNICATIONSNicolas Josso, Grenoble INP/GIPSA-lab, France; Jun Jason Zhang, Dario Fertonani, Antonia Papandreou-Suppappola, Tolga Duman, Arizona State University, United States

SS-L10.2: JOINT CHANNEL AND DOPPLER ESTIMATION FOR MULTICARRIER ................................................ 5630UNDERWATER COMMUNICATIONSAlain Kibangou, Cyrille Siclet, Laurent Ros, GIPSA-lab, France

SS-L10.3: TIME-FREQUENCY-PHASE TRACKING APPROACH : APPLICATION TO ............................................ 5634UNDERWATER SIGNALS IN A PASSIVE CONTEXTCornel Ioana, Jerome Mars, Grenoble INP/GIPSA-lab, France; Alexandru Serbanescu, Military Technical Academy, Romania; Srdjan Stankovic, University of Montenegro, Yugoslavia

SS-L10.4: ESTIMATION OF A WHITE GAUSSIAN NOISE IN THE SHORT TIME FOURIER ................................. 5638TRANSFORM BASED ON THE SPECTRAL KURTOSIS OF THE MINIMAL STATISTICS:APPLICATION TO UNDERWATER NOISEFabien Millioz, Grenoble INP/GIPSA-lab, France; Nadine Martin, CNRS/GIPSA-lab, France

SS-L10.5: PASSIVE RANGING CAPABILITY OF A MULTI-MODULE ARRAY IN .................................................... 5642UNDERWATER ACOUSTIC ENVIRONMENTSHongya Ge, New Jersey Institute of Technology, United States; Ivars Kirsteins, Naval Undersea Warfare Center, United States

SS-L10.6: ON

Author Index

THE USE OF TIME-FREQUENCY METHODS IN A PASSIVE ACOUSTIC ......................................... 5646MONITORING SYSTEM Cedric Gervaise, ENSIETA, France; Yann Stephan, SHOM, France; Yvan Simard, University of Rimourski, Canada